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

With no annotations, the description carries the transparency burden; it does add a useful behavioral trait ('No identifiers are retained') that reinforces the per-parameter 'discarded' notes. However, it does not disclose the output shape, whether any external lookup occurs, or any side effects, leaving the behavior only partially transparent.

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 main purpose front-loaded and a genuinely useful privacy guarantee in the second. There is no fluff, redundant schema repetition, or wasted words.

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?

Without an output schema or annotations, an agent cannot reliably predict what the classification result looks like or which input makes the tool applicable. Given seven heterogeneous optional parameters and many sibling tools, the description is too sparse to support correct invocation.

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 describes every parameter in concrete terms, so schema description coverage is already high and the baseline applies. The description adds no per-parameter meaning beyond the generic idea that the request is being classified.

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 clear verb ('Show') and resource ('this request'), and the tool name hints at classification, but 'classified' is unspecified – no categories, output format, or relation to 'compatibility' is stated. It does not meaningfully distinguish this from sibling shape-check tools such as domain-shape or github-repo-shape.

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 choose compatibility over the many sibling tools, nor which of the seven optional parameters to supply. The privacy note suggests a use case around not retaining identifiers, but it does not state a selection rule or exclusions.

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