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

Goes far beyond the readOnly/idempotent annotations: it warns that counts are global while matchedEntries reflects filters, that comments and reports overlap, that reports repeat authors or supersede older outcomes, that entries are unverified user claims and upvotes are not compatibility evidence, that empty feedback is not a negative verdict, and that comment text is untrusted data. This is exactly the disclosure an agent needs to interpret results without over-claiming.

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

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

Purpose is front-loaded and every clause carries information, but the body is a dense chain of semicolon-linked caveats that is hard to scan and mixes invocation guidance with result-interpretation warnings. It would read better split into short labeled groups.

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

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

For a read tool with annotations and an output schema, nothing material is missing: it explains filters, ordering, pagination via nextOffset and parentUrl, global vs. matched counts, and the epistemic status of the data. An agent could call and interpret it correctly from this text alone.

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

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

With only 43% schema coverage, the description compensates well: modId accepts a slug or a mod: ID, modelId and firmware narrow to exact matching reports, order: newest surfaces recent breakage while helpful ranks by comment upvotes, and featureRequests: true filters to requests only. limit and offset bounds are left to the schema, and 'nextOffset' is mentioned though the input schema names it 'offset', a minor mismatch.

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

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

States a specific verb and resource set: returns co.build upvotes, paginated public comments, feature requests, replies, and works/partly/broken reports for a mod. The read-only nature is unambiguous against write-oriented siblings such as prepare_feedback and publish_feedback, and the framing 'before recommending a mod' pins down the decision it supports.

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

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

Gives clear triggering contexts: check community experience before recommending a mod, and use featureRequests: true to find an existing request before posting another. It also implicitly routes writing to sibling tools by being purely a read. It does not explicitly name alternatives or state when not to call it, so it falls 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.