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

No annotations are provided, so the description carries full responsibility for behavioral disclosure. It does mention that no identifiers are retained, which is useful privacy context, but it does not explain whether the tool performs network calls, returns a category, or has side effects beyond classification.

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 and contains no redundant phrasing, but it is also under-specified. The first sentence is too vague to be actionable, and the second sentence only provides a privacy note. It is concise in length but not optimally structured for tool selection.

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?

With no output schema, no annotations, and a complex 9-parameter tool, the description is incomplete. It fails to explain what the classification result looks like, how parameters relate to the classification, or when an agent should prefer this over the sibling tools.

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 covers all 9 parameters with individual descriptions, including details about values being discarded or normalized. The description itself adds no additional parameter-level meaning, but since schema coverage is 100%, this is an acceptable baseline.

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 verb and object ('Show how this request is classified') and indicates a classification behavior. However, it never defines what classification categories or output the agent should expect, and it does not distinguish this tool from the many sibling shape-checking and validation tools.

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 versus alternatives. With 27 sibling tools such as validate-json, normalize-url, domain-shape, and weather-hint, an agent cannot tell whether 'compatibility' is a router, a classifier, or a meta-utility that should be tried before those specific tools.

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