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

With no annotations, the description carries the full behavioral transparency burden, but it only says 'short catalog'. It does not disclose whether the tool performs network access, reads files, validates input, returns data, or simply presents static information.

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 short, but it is under-specified rather than efficiently concise. Important operational and usage details are absent, so the brevity does not serve the agent well.

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 tool with 9 optional parameters, no output schema, and no annotations, a one-line noun-phrase description is severely inadequate. It does not explain how to invoke the tool, what parameters are for, what the response contains, or when this tool is relevant.

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 100%, so the parameter descriptions in the input schema already provide baseline meaning. The tool description adds no extra parameter-level context and does not explain why the nine optional parameters relate to an HTTP status code catalog.

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 resource ('common HTTP status codes') but never states an explicit operation such as 'returns', 'lists', or 'looks up'. It is more informative than a pure tautology, but the 9 unrelated optional parameters in the schema leave the actual purpose ambiguous.

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 provided about when to use this tool instead of sibling tools like fetch-status, web-fetch, or normalize-url. The agent must infer the intended use case with no explicit context or exclusions.

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