metrics_list

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 only reveals the storage backend (S3) and the list semantics, but says nothing about pagination behavior, default limit of 100, filtering effects, ordering, or return format.

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 single sentence is well-formed and front-loaded, but it is under-specified rather than efficiently concise. For a tool with four parameters including pagination and filters, the description is too thin to justify its brevity.

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 four parameters, no annotations, and no output schema, the description should cover pagination, filter semantics, and return value shape. It covers none of these, leaving an agent without enough information to call the tool correctly on the first attempt.

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 effectively 0% (properties have only titles, no descriptions), so the description must compensate for the four parameters. It does not explain limit, agent_id, date_prefix, or continuation_token beyond what their names already hint at, and the S3 pagination semantics of continuation_token remain undocumented.

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 uses a specific verb and resource ('List metrics objects in S3') that clearly states the core operation. It does not explicitly differentiate from the sibling metrics_get, though 'list' versus 'get' is implied by the wording and tool names.

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?

No guidance is given on when to use this tool versus metrics_get, how pagination should be handled with continuation_token, or when filters like agent_id and date_prefix are appropriate. The usage context is left entirely to inference.

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