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

There are no annotations, so the description carries the full burden of behavioral disclosure. It does disclose a meaningful privacy trait: 'No identifiers are retained.' However, it does not mention whether the tool performs network calls, whether it is read-only, or what side effects, if any, exist.

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 and front-loaded, stating the core action first and the privacy guarantee second. It contains no filler or repetition, and each sentence earns its place.

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 seven heterogeneous inputs, no output schema, no annotations, and a large sibling set, the description is not detailed enough for an agent to know what input to supply, what classification result to expect, or how the tool relates to nearby tools. The privacy note is useful, but it is the only contextual information provided.

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 already documents all seven parameters in detail, describing what each value represents and when it is discarded. The description itself adds no parameter-level meaning, so it does not improve on the schema's already strong 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 that the tool 'shows how this request is classified', which is a specific action, but it never explains what classification means, what categories are possible, or what the output looks like. This leaves the purpose vague and does little to distinguish it from sibling classifiers like domain-shape or validate-json.

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 the many sibling tools such as normalize-url, validate-json, or domain-shape. The description implies it is for classifying a request, but offers no use cases, exclusions, or alternatives.

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