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

The description mentions 'Body discarded' and several parameters are described as 'discarded after the check', giving a small hint of non-persistence. However, with no annotations, it does not disclose whether the operation is read-only, what side effects exist, or what error behavior may occur.

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 main description is short and front-loaded, stating the core outcome in one sentence. It avoids unnecessary verbosity, though the parameter descriptions add clutter elsewhere.

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?

The tool definition is far from complete: there is no output schema, no usage examples, no required parameters, and the nine optional parameters are not explained coherently. An agent would not know how to construct a valid call or interpret the result.

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?

Although every parameter has a schema description, the descriptions are inconsistent and unrelated to the stated purpose (e.g., 'City name for a public weather hint', 'IANA timezone name'). They do not clarify how parameters are used or which combinations are meaningful, so they add little practical value.

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 'HTTP status for a public library docs URL' is vague and misleading given the input schema contains unrelated fields like city, timezone, JSON text, and search query. It does not clearly define what the tool actually does or what resource it operates on.

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 versus sibling tools such as fetch-status, normalize-url, or validate-json. The description does not mention alternatives or conditions for selection.

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