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

Beyond the annotations, the description discloses that the check is re-run fresh, that the call waits up to about 40 seconds, and that results are returned as fixed, new, still open, and not re-checked findings. This adds meaningful behavioral and output context, though it does not cover auth or rate-limit behavior.

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 a single front-loaded sentence that moves from deployment context to action, timing, and return categories. It contains no filler and every clause contributes useful information.

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?

Given the single fully documented parameter, the safety annotations, and the absence of an output schema, the description provides enough context to call the tool and interpret its main outcome categories. It could be slightly richer about the exact comparison output format, but it is largely complete.

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?

The only parameter is audit_id, and the schema already documents it fully as the audit id returned by run_checks. The description does not add parameter-specific meaning beyond the schema, so the baseline of 3 applies with full schema coverage.

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: re-run the same check on the same URL and options, then compare against the original run. It is clear what the tool does, but it does not explicitly name sibling tools such as run_checks or get_report to sharpen differentiation.

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 'After the fixes are deployed' gives a clear usage context for verification rather than initial checking. It does not explicitly say when not to use it or name alternatives, so it falls short of the top score.

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