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

No annotations are provided, so the description carries the full burden. It discloses the ordering (newest first), the output fields (status, editor notes, public URL), and the account-wide scope. It also explains authentication nuances. It does not explicitly state that it is a read-only operation, but that is implied by 'list'. It also does not mention pagination or rate limits, but these are minor for a simple list tool. The description is transparent about the key behaviors an agent needs to know.

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 sentences, front-loaded with the primary action and scope, followed by usage and authentication details. Every clause adds value: the list of statuses, the note about editor notes and URL, and the authentication guidance. There is no redundancy or filler. The structure efficiently communicates the tool's purpose and key behavioral nuances.

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 simple list tool with 2 optional parameters and no output schema, the description covers the essential aspects: what is listed, the ordering, the included fields, and the authentication requirement. It does not describe the exact response format, but since no output schema is provided, the description's mention of status, editor notes, and public URL gives sufficient context. It also lacks explicit mention of pagination, but the 'limit' parameter implies it. Overall, the description is sufficiently complete for an agent to call the tool correctly.

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 schema description coverage is 50%: the 'status' parameter has a description and enum, while 'limit' has no description but has default/min/max constraints. The tool description does not mention either parameter or add any additional meaning beyond the schema. For instance, it doesn't explain the effect of 'limit' or how 'status' filtering works. Since coverage is exactly 50%, the description should compensate for the undocumented 'limit' parameter, but it doesn't. Therefore, a score of 3 is appropriate – the schema provides baseline info, but the description adds no parameter guidance.

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 clearly states the verb 'List', the resource 'review articles', the scope 'across every product you own', and the ordering 'newest first'. It also specifies the included fields (editorial status, editor notes, public URL) and the intended use case ('check what happened to a generated review'). This clearly distinguishes it from sibling tools like list_directory_listings or list_public_listings, which target different resources.

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 provides a clear use case: 'Use to check what happened to a generated review.' It also explains authentication requirements (product API key or admin key) and notes that both list the whole account. While it doesn't explicitly contrast with alternatives, the specificity of the purpose and the absence of a similar sibling tool make the usage context clear. It could be improved by explicitly stating when NOT to use it, but the guidance is sufficient.

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