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Ask for a provider or job we do not have

capability_request
Idempotent

looot: request a provider or job the data API catalog does not cover yet -- same as POST /v1/capability-requests. title and description are yours; desiredInputs/desiredOutputs are optional field lists the endpoint should take/return. idempotencyKey (yours, stable per request) makes a retry a no-op instead of a duplicate ask.

Input Schema

NameRequiredDescriptionDefault
titleYes
descriptionYes
desiredInputsNo
desiredOutputsNo
idempotencyKeyYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4/5.0
Behavior3/5

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

Annotations already declare idempotentHint=true, readOnlyHint=false and destructiveHint=false, so safety is largely covered. The description adds real value by explaining the mechanism behind idempotency ('makes a retry a no-op instead of a duplicate ask'), but says nothing about auth/permissions, any review or approval flow after submission, or limits on how often requests can be filed.

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?

A single dense sentence with three tight clauses, front-loaded on the purpose before the parameter notes. No filler, though the em-dash chaining is slightly run-on and could be split for scannability.

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

Completeness3/5

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

For a creation tool with no output schema, the description never says what comes back (a request id? a status?), nor what happens next (review, fulfillment, polling via my_tools). It covers inputs adequately but leaves the post-call lifecycle and return value entirely to inference.

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

Parameters4/5

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

Schema coverage is 0%, so the description must carry the burden, and it does: it clarifies that title/description are free-form author content, that desiredInputs/desiredOutputs are optional field lists the target endpoint should take/return, and that idempotencyKey is caller-supplied and must be stable per request. Only the trivial title/description field constraints (length limits) are left to the schema.

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

Purpose5/5

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

States a specific verb and resource ('request a provider or job') and pins the scope to things 'the data API catalog does not cover yet', which cleanly separates it from catalog-reading siblings like search_catalog, discover, and catalog_overview. The endpoint equivalence (POST /v1/capability-requests) gives an unambiguous anchor.

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

Usage Guidelines4/5

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

The 'does not cover yet' condition is an explicit when-to-use trigger that implies the reader should first check the catalog tools. It stops short of naming the specific alternatives (search_catalog/discover) or stating when-not to file a request (e.g., duplicates), so it falls just short of a 5.

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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