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

The readOnlyHint annotation already signals safety, and the description adds meaningful process context: findings are produced by nightly checks and a weekly critic, a person approves them, and they carry ready-made prompts. It also clarifies that `proposed` findings are not approved, which is important behavioral context beyond the annotation.

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 front-loaded with the core purpose and then gives compact selection and workflow guidance. Some background detail (nightly checks, weekly critic, /admin/self-review) is helpful context rather than filler. It is slightly dense but every section earns its place.

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-only tool with two simple parameters, high schema coverage, and a readOnly annotation, the description provides enough context to invoke it correctly: what findings are, which status to use, and what to do after reading them. It omits explicit return-shape details, but with no output schema and simple parameters that is acceptable.

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 coverage is 100%, so the description is not required to compensate for undocumented parameters. It reinforces the `accepted` default and explains the status distinction, but most of that is already present in the schema's status description. There is no substantial new parameter-level meaning added.

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 names a specific resource ('Coderbuds' self-review findings') and a specific verb ('Read'), then defines what those findings are: contradictions between customer-facing outputs and data Coderbuds already holds. This is clear enough to separate it from related siblings like propose-self-review-finding-tool and record-self-review-fix-tool.

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 description gives explicit selection and workflow guidance: default to `accepted`, do not start on `proposed` findings, and after fixing call `record-self-review-fix`. It does not explicitly contrast with sibling getters or propose-self-review-finding-tool, but the when-to-use and when-not-to-use context is strong.

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