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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It contributes one useful trait — "No identifiers are retained" — which is a genuine privacy/retention guarantee. However, the per-parameter "discarded after" notes live in the schema, not the description, so the description itself discloses only retention behavior and nothing about the classification logic or output. Minimal but non-zero value.

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 zero waste, and the primary purpose is front-loaded ahead of the secondary privacy note. The structure is efficient, even if the content is thin.

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?

A tool with 9 heterogeneous parameters (git refs, URLs, cities, RSS feeds, JSON, file paths, timezones, search text), no output schema, and no annotations is seriously under-described by two sentences. The description never clarifies what "classification" means, what the result looks like, or how the disparate inputs feed into a single compatibility verdict. Substantially more context is needed.

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 baseline of 3 applies. Every one of the 9 parameters is already documented with field-specific notes (e.g., "Git ref name; discarded after the shape check"). The description adds nothing about how the parameters relate to the classification, so it provides no value beyond the schema.

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?

"Show how this request is classified" is vague — the noun "request" is never defined, and "classified" is never explained. The description never mentions compatibility, which is the tool's name and likely its core purpose, and it fails to differentiate from the many sibling validation tools (domain-shape, file-path-ok, validate-json, normalize-url). The verb+object structure exists but the object is too underspecified to direct an agent.

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 when-to-use or when-not-to-use guidance. With 29 siblings spanning validation, normalization, and status-checking, an agent has no signal about which one to pick for, say, a URL shape check versus a generic compatibility classification. No alternatives are named and no exclusions are given.

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