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

No annotations are present, so the description carries the full burden of disclosing side effects and safety. It does add a useful 'No identifiers are retained' guarantee, but it does not state whether the tool is read-only, whether it performs network requests, or what observable behavior occurs beyond returning a classification. This leaves significant ambiguity.

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 with no filler, and the primary action is front-loaded ahead of the privacy note. It is concise to the point of under-specification, but that deficiency is better penalized under contextual completeness and purpose clarity.

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 nine heterogeneous optional parameters, no annotations, and no output schema, this definition is far from complete. It does not explain what the classification result looks like, how multiple populated parameters are combined, or what response the agent should expect. An agent cannot confidently predict the tool's behavior from this description alone.

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 provides 100% parameter description coverage for all nine optional fields, so the description does not need to restate parameter meanings. However, the description adds nothing about how the parameters interact or which fields determine the overall classification. Baseline 3 is appropriate because the schema already carries the parameter-level semantic load.

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'), so it is not a tautology, but it never defines what 'classified' means, what classification categories exist, or what output to expect. It also does not differentiate this tool from the many sibling shape-check and fetch 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 instead of alternatives like domain-shape, fetch-status, or validate-json. No prerequisites, exclusions, or contextual triggers are mentioned. The privacy note is informative but not usage guidance.

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