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

With no annotations, the description carries the behavioral disclosure burden. 'No identifiers are retained' is a genuine and useful behavioral guarantee, and it aligns with the per-parameter 'discarded' notes in the schema. However, it does not say whether the tool is read-only, what happens if multiple parameters are supplied, or what output to expect.

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 two sentences with no filler: purpose first, privacy guarantee second, and every word earns its place. It is easy for an agent to parse quickly.

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?

For a tool with nine optional parameters, thirty sibling tools, and no output schema, this description is too thin. It omits the classification categories, the valid parameter combinations, the output format, and the conditions under which this tool should be called.

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?

Schema coverage is 100%, so the schema already documents all nine parameters including their discard behavior. The description adds no parameter-specific semantics beyond a global retention guarantee, so it does not need to do more.

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 names a verb and an object ('Show how this request is classified') and adds a privacy note, so an agent can tell it returns some classification. However, it never states what classification categories exist, what is being classified, or how this tool differs from the many sibling shape/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?

The description gives no guidance on when to use this tool versus alternatives like validate-json, normalize-url, or geo-hint. There are no prerequisites, no exclusions, and no mention of valid input combinations.

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