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

With no annotations, the description carries the full behavioral burden. It discloses one privacy trait ('No identifiers are retained'), but does not mention what happens to inputs, whether any side effects occur, or what the output looks like. The term 'classified' implies some analysis but the nature of that analysis is undisclosed.

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 short and front-loaded with the main action, which is concise. However, it prioritizes a vague statement over useful detail, and the second sentence on privacy is a small addition. It is not verbose, but it sacrifices substance for brevity.

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?

For a tool with 9 parameters, no output schema, and no annotations, this description is critically incomplete. It does not explain what inputs do, how the analysis works, what the response contains, or when it should be invoked. An agent has no chance of using it correctly based on this text 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?

Schema coverage is 100%, so each parameter is individually documented. The description itself adds no meaning to the parameters—it does not explain how 'ref', 'url', 'city', etc. relate to 'classification'. Per the baseline rule for high coverage, a 3 is appropriate, but the description fails to tie the parameters to the tool's purpose.

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 vague purpose ('show how this request is classified') but never defines what 'classification' means or what kind of request it applies to. It does not distinguish this tool from sibling analyzers like 'domain-shape' or 'validate-json', which also inspect inputs, so an agent cannot tell what this tool does differently.

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 any of the 28 siblings. It does not state context, prerequisites, or exclusions, leaving the agent to guess whether this is for text analysis, URL checking, or something else.

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