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

There are no annotations to rely on, so the description carries the full burden. It does add one meaningful behavior—'No identifiers are retained'—which signals privacy/discard behavior. However, it does not disclose side effects, network use, whether it is read-only, or what the classification response contains.

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 compact with no filler; both sentences earn their place, one for purpose and one for data-handling behavior. However, the brevity contributes to ambiguity, so it is strong on conciseness but not flawless.

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?

This is a tool with seven heterogeneous inputs, no output schema, and many closely related siblings. The description does not explain what classification is produced, how inputs are used, or what the agent should do with the result. It is not complete enough for correct invocation.

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 input schema provides detailed descriptions for all seven parameters, including discard behavior for several fields, so schema coverage is effectively 100%. The description itself adds no parameter-level information, matching the baseline of 3 for high schema coverage.

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 states a concrete action and object: 'Show how this request is classified.' However, it never specifies what classification means, what dimensions are involved, or what output the agent should expect. It is neither tautological nor sibling-differentiating, leaving it vague.

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?

There is no guidance about when to use this tool instead of any of the many sibling tools like domain-shape, validate-json, or fetch-status. No context, conditions, or exclusions are provided, so an agent cannot decide between this and alternatives.

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