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

With no annotations, the description carries the transparency burden. It supplies one concrete behavioral guarantee: identifiers are not retained. It omits whether the tool is read-only, whether any external calls occur, or what happens to the input beyond classification, so transparency is partial.

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?

Two short sentences with the purpose first and the privacy guarantee second; no filler words. It is appropriately brief, though the brevity overlaps with the ambiguity captured elsewhere.

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?

Seven heterogeneous parameters, no output schema, and no annotations demand more context than this. The description never explains what a classification result looks like, which parameter(s) to provide, or how this tool fits with the sibling tool set, so correct invocation remains uncertain.

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 with individual descriptions, so schema coverage is high. The description adds no parameter-level meaning or relationship among ref, url, city, feed, host, json, and path, which is acceptable at baseline though not enhanced.

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 real purpose—show how the request is classified—so it is not a tautology or missing. However, the classification scheme, categories, and what makes this tool different from siblings like validate-json or normalize-url are left undefined, making the purpose vague.

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 when-to-use or when-not-to-use guidance and names no alternatives. It does not tell the agent how compatibility relates to any of the many sibling shape/validation tools, leaving selection entirely to inference.

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