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Adapt a release for USA Today

ai_adapt_release

Prepare a factual revision against USA Today editorial formatting requirements, including missing facts to resolve. Uses the AI quota and sends content to the AI provider. Returns a proposal, not an approved placement or submission.

Input Schema

NameRequiredDescriptionDefault
contentYes
languageNoen

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior4/5

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

Goes well beyond the annotations by disclosing that it 'Uses the AI quota and sends content to the AI provider' (external transmission plus cost) and that the result is a 'proposal, not an approved placement or submission.' The annotations only flag openWorldHint and non-idempotence; the description adds the quota/transmission and non-committal-result context.

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?

Three tight sentences, purpose front-loaded, no filler. The caveat about quota and proposal status is placed after the core purpose, which is the right ordering.

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 non-idempotent, open-world AI tool with a large nested input and no output schema, the description covers the workflow stance and side effects but leaves the input structure and the shape of the returned proposal entirely unexplained. Adequate but with clear gaps.

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

Parameters2/5

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

The description mentions no parameters at all, and schema description coverage is effectively 0% across the large nested content object (only 'body' carries any description). With ~20 undocumented nested fields, the description should compensate for the coverage gap but does nothing here.

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?

States a specific verb and resource: 'Prepare a factual revision against USA Today editorial formatting requirements.' This is distinct enough from siblings like ai_draft_release and ai_review_release to be selectable, though it never names or contrasts those alternatives explicitly.

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

Usage Guidelines3/5

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

Usage is implied rather than stated. The line 'Returns a proposal, not an approved placement or submission' situates it in the workflow but does not say when to choose it over ai_draft_release or ai_review_release, nor what prerequisites must be met first.

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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