ask_pipeworx_grounded
Exposed by 1312 servers, with 3 different definitions behind the one name.
The same name does not mean the same tool here.
1312 servers expose ask_pipeworx_grounded and we have recorded 3 distinct definitions of it. Compare the parameters below before assuming one is a drop-in for another.
AlienVault OTX MCP — Open Threat Exchange (free with key)
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
Alpaca MCP — real-time US stock market data via the Alpaca Market Data API
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
AlphaFold DB MCP — predicted protein structures.
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
Alpha Vantage MCP — Stock market data, fundamentals, and earnings
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
Altos Research MCP — Real estate market intelligence
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
always-seven MCP — wraps StupidAPIs (requires X-API-Key)
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
Amplitude MCP Pack
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
Amtrak MCP — live Amtrak train tracking via the community Amtraker API
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
An API of Ice and Fire — A Song of Ice and Fire (books/characters/houses)
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
AniList MCP — wraps AniList GraphQL API (free, no auth)
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
AnimeQuotes MCP — wraps animechan.io (free, no auth)
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
API-Football MCP — comprehensive soccer/football data
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,211 across 1365 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
API Ninjas MCP — wraps the multi-endpoint API Ninjas data API (api-ninjas.com)
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,621 across 1472 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
APIs.guru MCP — keyless directory of 2,500+ public APIs and their OpenAPI specs.
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
apology MCP — wraps StupidAPIs (requires X-API-Key)
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
Arbeitnow Job Board MCP.
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
City of Abbotsford GIS — Abbotsford, BC (Canada) open geospatial data (ArcGIS).
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
Adams County GIS — Adams County, Colorado open geospatial data (ArcGIS).
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
City of Albuquerque GIS — Albuquerque, New Mexico open geospatial data (ArcGIS).
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
Allegheny County GIS — Allegheny County, Pennsylvania open geospatial data (ArcGIS).
Ask Pipeworx — Grounded
Hallucination-resistant answer mode for high-stakes reads. Same routing as ask_pipeworx — picks the right tool from 5,635 across 1477 sources, fills arguments, fetches the data — then EXTRACTS the answer using ONLY what the tool result contains. Returns {answer, evidence (verbatim quote), confidence, source, fetched_at, refusal_reason:null} on success, OR an explicit refusal {answer:null, refusal_reason:"not_in_source"|"no_tool_match"|"tool_error"|"data_truncated"|"llm_error"} when the data doesn't directly answer. Use whenever an answer will be quoted, cited, or acted on, and the agent must not invent facts (financial verdicts, legal claims, medical lookups, public statements). Costs one extra LLM call vs ask_pipeworx — prefer ask_pipeworx for casual lookups.
| Parameter | Type | Description |
|---|---|---|
| q | string | Alias for question. |
| text | string | Alias for question. |
| input | string | Alias for question. |
| query | string | Alias for question. |
| prompt | string | Alias for question. |
| question* | string | Your question in natural language. Accepts query, q, prompt, text, input as aliases. |
* required
Author's annotations: readOnlyHint=True, openWorldHint=True, idempotentHint=True, destructiveHint=False. These are claims by whoever wrote the server, not something we verified.
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