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

With no annotations, the description must carry the burden of behavioral disclosure. It adds one useful trait: 'No identifiers are retained,' which clarifies data handling. However, it does not disclose whether the operation is read-only, has side effects, or how inputs are used beyond that retention note.

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 only two sentences and both are purposeful: the first states the action and the second adds a privacy behavior. It is appropriately front-loaded and has no filler, though the first sentence could be more specific.

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 has four optional parameters, no output schema, and no annotations, but the description does not explain what the classification means, how the parameters influence it, or what the response looks like. This leaves significant gaps for an agent trying to call the tool correctly.

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 description coverage is 100%, so the schema already documents the four parameters meaningfully. The description adds no parameter-specific meaning, but per the baseline rule for high schema coverage, a 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 verb and resource ('Show how this request is classified'), so it is not a tautology, but the kind of classification and what 'this request' refers to remain vague. It does not distinguish the tool from siblings like citation 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 on when to use this tool versus the sibling tools, and no context or exclusions are given. The description implies the agent can invoke it to see a classification, but that is left entirely to inference.

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