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Agent tool definitions

astroway_agent_tools
Read-onlyIdempotent

Tool definitions for an agent framework, generated from the live OpenAPI document, so the schema a model fills is the schema the endpoint validates. format=openai (default) returns { type, function } objects you can spread straight into a chat completion; format=anthropic returns { name, description, input_schema }. The objects carry nothing of ours: how to call each tool lives in a separate executors map keyed by tool name, because an unexpected key inside a vendor tool object is a 400 at their end.

[Group: Agent Platform] [Endpoint: GET /v1/agent/tools] [Cost: see your plan — endpoint not in the public credit manifest]

Input Schema

NameRequiredDescriptionDefault
qNoFree-text filter applied within the selection, matched against path, summary, description and group.
limitNoHow many tools to return. The ceiling is the OpenAI limit of 128 functions per request; models degrade well before it. Anything left out is counted in `totalMatched`.
fieldsNoCompact mode: comma-separated dotted paths to keep, relative to `data`, e.g. "planets.name,planets.longitude,houses.cusp". Omit for the whole response.
formatNoWhich vendor contract the tool objects follow. `openai` returns `{ type, function }`, `anthropic` returns `{ name, description, input_schema }`.openai
selectNoWhat to hand over: `starter` (the curated set, the default), `all`, `group:<tag>` such as `group:Vedic`, or `paths:/chart,/synastry` for an explicit list. An unknown path is named in `notes` rather than dropped.starter
precisionNoCompact mode: round fractional numbers to this many decimals. Longitudes carry 14 by default; 2 is finer than any chart is drawn.

Output Schema

NameRequiredDescriptionDefault
countNo
notesNo
toolsNo
formatNo
selectNo
executorsNo
truncatedNo
totalMatchedNo
totalAvailableNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already cover the safety profile (readOnly, idempotent, non-destructive, closed-world), yet the description adds genuine behavioral context beyond them: executors are kept out of the vendor objects because an unexpected key causes a 400 on the vendor side, and cost is flagged as not in the public credit manifest. That is real operational value.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Roughly three sentences, front-loaded with the purpose before the format and executor caveats. It is dense but each sentence carries information, though the format explanation partially duplicates the schema's own enum description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With an output schema present and full annotation coverage, the description need not explain return values, and it appropriately focuses on the vendor-shape contract and the executors/400 gotcha. It is nearly complete, with the only gap being sibling disambiguation rather than missing operational detail.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so the schema already documents every parameter in depth (limit ceiling rationale, select values, precision semantics). The description only restates format and its default, adding no parameter meaning the schema lacks. Baseline 3 is correct.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states what the tool returns: tool definitions for an agent framework, generated from the live OpenAPI document. It is specific about the resource and the vendor-shape variants (openai vs anthropic objects). However, it never distinguishes this from the near-identical sibling astroway_mcp_tools_list, which an agent would plausibly confuse it with.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use, when-not-to-use, or alternative-naming guidance. The mention that openai objects 'spread straight into a chat completion' implies a use case, but the agent is left to infer when this endpoint is preferable to astroway_mcp_tools_list or the MCP tool-call streaming siblings.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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