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

With no annotations, the description carries the full behavioral burden. It does add a useful privacy disclosure ('No identifiers are retained') and the schema reinforces discard behavior for individual parameters. Still, it does not explicitly state whether the tool is read-only, whether it makes external calls, or what its output structure is.

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 front-loaded and efficient: one purpose sentence and one privacy sentence with no filler. It is appropriately short, though the brevity contributes to the lack of operational detail.

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 tool has seven heterogeneous parameters, no output schema, and no annotations, yet the description does not explain how the parameters combine, what classification output to expect, or how the result should be interpreted. An agent would likely need external knowledge to invoke it correctly.

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 already describes each of the seven parameters meaningfully, including discard behavior, so schema coverage is high. The description adds no parameter-level meaning beyond the privacy guarantee, so it does not improve on what the schema already provides.

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 classifies or shows classification of a request, so there is a verb and resource. However, it never says what classifications are produced, what input shape is expected, or how this differs from the many sibling validators and shape-checking 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 instead of alternatives like validate-json, domain-shape, file-path-ok, or normalize-url. The phrase 'Show how this request is classified' implies a generic classification use case, but it does not state conditions, exclusions, or prerequisites.

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