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

With no annotations, the description must carry the behavioral burden. 'No identifiers are retained' adds a meaningful privacy guarantee and aligns with the per-parameter 'discarded' notes, but it does not disclose whether the tool is read-only, whether it makes external calls, or what the classification result looks like.

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 short sentences, front-loaded with the main purpose and followed by a relevant caveat. There is no filler or redundant restatement of the tool name.

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?

The tool has 9 optional parameters, no annotations, no output schema, and many sibling tools with similar purposes. The description does not explain what classification outputs to expect, how to decide which parameter(s) to pass, or how this tool fits into the broader toolset, leaving a substantial gap in context.

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 description coverage is 100%, so the parameters are already well documented. The description adds no parameter-specific meaning beyond emphasizing non-retention, which the schema already conveys through words like 'discarded.' Baseline of 3 is appropriate.

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 uses a verb ('Show') and an object ('how this request is classified'), so it is not a tautology. However, it is vague: it does not specify what classification categories are produced, what inputs should be provided, or how this tool differs from the many sibling shape-check 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 on when to use this tool versus alternatives such as domain-shape, github-repo-shape, validate-json, or normalize-url. The description only states what it does at a high level, leaving the selection decision entirely to the agent.

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