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

No annotations are provided, so the description carries the full burden. It adds one genuinely useful behavioral disclosure — 'No identifiers are retained' — which is reinforced by the schema's per-parameter 'discarded' notes. However, it never states whether the operation is read-only, whether any external service is contacted, or what side effects (if any) exist, leaving the core behavior largely opaque.

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 no filler, and the core purpose is front-loaded ahead of the privacy note. The terseness is efficient, though it achieves brevity partly by omitting substance.

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 optional parameters, no output schema, no annotations, and 27 closely related siblings, two sentences are materially insufficient. The description does not explain what the classification output is, how to select among the many parameters, or how this tool differs from the shape-checking and validation siblings.

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 per-parameter semantics are already fully documented in the schema (e.g., 'discarded after the shape check', 'titles discarded'). The description itself adds no parameter-level meaning, which matches the baseline of 3 for high coverage.

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 names a verb and resource ('Show how this request is classified'), so it is not a tautology, but 'classified' is ambiguous — it never states what classification scheme or category system is applied, or what the output looks like. Given the name 'compatibility' and nine heterogeneous parameters (URLs, JSON, paths, timezones), an agent cannot infer what the tool actually computes.

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 are 27 sibling tools including domain-shape, figma-url-shape, github-repo-shape, jira-key-shape, validate-json, and normalize-url, yet the description gives zero guidance on when to call 'compatibility' instead of those alternatives, or whether parameters should be supplied one at a time.

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