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

With no annotations provided, the description carries the full disclosure burden. It contributes one genuine behavioral trait ('No identifiers are retained', a privacy/no-persistence guarantee), but it does not say whether the tool makes network calls, what the response looks like, whether it consumes a single parameter or inspects all of them, or how errors surface. The schema's repeated 'discarded after...' notes do some of this work, but the description itself is thin for an unannotated tool.

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 the purpose first and the privacy guarantee second; there is no filler or redundancy. Every word earns its place. The brevity is partly a symptom of under-specification, but that is more appropriately penalized under contextual completeness and behavioral transparency.

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 9-parameter classifier with 28 siblings, no output schema, and no annotations needs far more context than this. The agent cannot predict the response format, the classification taxonomy, whether parameters are mutually exclusive alternatives, or what a 'compatible' result means. The per-parameter 'discarded' notes in the schema partially compensate, which keeps this from being a 1.

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 baseline of 3 applies. Every parameter is already documented in the schema (e.g., 'Git ref name; discarded after the shape check', 'Search text; discarded after the length check'). The tool description adds nothing about parameters, so no credit beyond the schema is warranted.

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'), but 'classified' is left undefined - the agent is never told what categories, tool mappings, or outcomes the classification produces. The heterogeneous parameter list (git refs, URLs, cities, RSS feeds, JSON, paths, timezones, queries) hints at a routing tool that maps a request to one of the 28 sibling domains, but the description never states this, leaving the purpose genuinely vague rather than tautological.

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 zero guidance on when to use this tool versus any of the 28 siblings such as validate-json, normalize-url, weather-hint, or iana-zones. The obvious intended use - call this when unsure which domain-specific tool applies - is never stated, and no alternatives, exclusions, or prerequisites are mentioned.

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