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

The annotations already declare this is a non-destructive write that is idempotent. The description adds meaningful behavioral context beyond that: the feedback is private and self-reported rather than a verified repair or payment. It does not explain idempotency or the receipt-token requirement, but it covers the key semantic caveat.

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?

The description is two tight sentences with no wasted words. The purpose is front-loaded, and the caveat about self-reported versus verified feedback follows immediately.

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?

The presence of annotations and an output schema means the description need not carry the full safety and return-value burden. Still, with three required parameters at 0% schema description coverage, the description leaves gaps around where diagnostic_id and receipt_token come from and how outcome values should be interpreted. It is adequate but incomplete for correct invocation.

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?

Schema description coverage is 0%, so the description must carry parameter meaning. It only vaguely maps to the outcome by saying whether the check helped; diagnostic_id and receipt_token are unexplained, and the enum values are not clarified. The schema titles, patterns, and enum provide structure, but the description adds little semantic guidance for the three required parameters.

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?

The description states a specific action and resource: it records self-reported feedback on whether a diagnosis check helped. It also distinguishes the record from a verified repair or payment. It does not explicitly differentiate itself from siblings such as diagnose_integration or get_receipt, so it is clear but not fully sibling-aware.

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?

The phrase 'whether the check helped' implies this is used after a diagnosis check to report the observed outcome. However, the description gives no explicit when-to-use guidance, no exclusions, and no named alternatives. Usage is inferable but not spelled out.

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