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

No annotations are provided, so the description carries the full disclosure burden. It adds one useful behavioral fact—'No identifiers are retained'—but says nothing about side effects, return values, external calls, or persistence. For a classification tool with nine inputs and no output schema, this is far from 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?

The description is short and front-loaded, and the privacy sentence is substantive. However, the brevity crosses into under-specification for a tool with nine optional parameters and many siblings. It is concise but omits essential context.

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?

There is no output schema, no annotations, nine parameters, and a large set of similar sibling tools to disambiguate. The two sentences do not explain how to construct a valid call, what result to expect, or when this tool should be selected. This is well below the minimum viable context for an agent to use it 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 coverage is 100%, so the structured schema already documents each parameter's meaning. The description adds no parameter-level context, such as how many fields should be supplied or how the values map to classification categories. This meets the baseline for full schema coverage but does not exceed it.

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 gives a verb and a vague object—'Show how this request is classified'—but never defines what classification means, what categories are returned, or what 'request' refers to. The name 'compatibility' hints at intent, but the description does not state the tool's actual output or scope. It does not distinguish this tool from the many sibling shape/check tools.

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 instead of a sibling such as normalize-url, validate-json, or domain-shape. The privacy statement implies it may be safe for sensitive data, but it does not state selection conditions, prerequisites, or exclusions. An agent has no way to choose this tool confidently.

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