uri_namespace_census

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

With no annotations, the description must convey behavioral traits. It states 'no network calls' and that it produces a 'frequency table,' which are useful. However, it does not mention whether it handles malformed inputs gracefully, anything about performance for large batches, or the exact output format (though schema covers max 500). The description adds some transparency beyond the schema but could be more explicit about return structure.

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 a single, tightly constructed sentence that includes the key attributes: purpose, grouping, and the local/no-network nature. No unnecessary words; it is highly efficient and front-loaded.

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 no output schema, so the description should convey what the result looks like. It states a 'frequency table' grouped by reference form and entity kind, which gives a reasonable mental model. However, it does not detail the exact structure or mention the effect of the response_format parameter (though that is in the schema). For a simple analysis tool, this is largely sufficient, but slightly more detail about the returned representation would improve completeness.

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%, meaning both parameters (uris and response_format) are already described in the schema. The description does not add extra meaning to parameters beyond what the schema provides. Its mention of 'grouped by reference form' indirectly relates to the input but adds no new parameter-specific guidance, so a baseline of 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 clearly states a specific verb and resource: it performs a 'census' of Spotify references, grouping them by reference form (uri/url/id/invalid) and entity kind. It also notes 'a local frequency table, no network calls,' which distinguishes it from many sibling tools that make API calls. This is a precise and unambiguous purpose.

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?

The description implies usage by stating it is a local frequency table with no network calls, which suggests it is for offline analysis. However, it does not explicitly name alternative tools (e.g., classify_spotify_uris, count_uris_by_type) or state when to choose this over them. Guidelines are only implicit, not explicit.

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