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

The description and parameter descriptions explicitly promise privacy via data discarding ('No identifiers are retained', 'discarded after the shape check', 'discarded after the call'), which is a meaningful behavioral guarantee. However, with no annotations available, the description does not disclose whether the tool makes external network requests, what side effects (if any) occur, or what the response contains. Some behavioral context is provided, but significant gaps remain.

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 core action and followed by a relevant privacy note. There is no verbose filler or repetition. The brevity is efficient, although it borders on under-specification, which prevents a 5.

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 accepts eight heterogeneous inputs and has no output schema, yet the description does not explain what the classification result looks like, how the parameters interact, or whether multiple parameters can be combined. An agent has no way to anticipate the return value or decide which parameters to supply. For a tool this complex, the description is critically incomplete.

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 descriptions already document each parameter in detail (e.g., 'Git ref name; discarded after the shape check', 'JSON text to validate; discarded after the check'), so schema coverage is high. The tool description itself adds no parameter-level meaning; notably, it does not clarify the ambiguous 'type' parameter beyond its own vague description 'Type of result to return'. With the schema doing the heavy lifting, the 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 states a specific verb ('Show') and a resource ('this request'), but 'classified' is undefined: there is no explanation of what classification categories exist, what output to expect, or which of the many input fields drive the classification. The name 'compatibility' and the broad set of heterogeneous parameters (ref, url, city, feed, host, json, path, type) suggest a general classification/dispatch tool, but it is not differentiated from siblings like domain-shape or validate-json.

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 or which alternative to prefer. The parameter descriptions hint at different domains, but the main description gives no condition such as 'use when the request type is ambiguous' or 'use to check which format applies.' An agent is left to infer the intended trigger.

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