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

Annotations already declare read-only, idempotent, non-destructive behavior, so the description adds value by disclosing the return payload (sounds with ids, CatIDs, descriptions, WAV links) and the UCS category counts, plus the no-argument default behavior. It does not mention pagination or limit interaction, which keeps it below 5.

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 dense sentences, front-loaded with the purpose and then the calling pattern, with no filler. Every clause conveys either routing or return information.

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?

Covers purpose, calling modes, and the shape of the response, and an output schema exists as backup for return details. Nothing an agent needs to invoke this correctly is missing.

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 schema already documents limit, query, and category. The description only reinforces category/query semantics and adds the useful 'pass nothing to get the start of the list' default behavior, but never explains the limit parameter — baseline 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?

States a specific verb and resource ('browse the sound vocabulary', list UCS categories) and explicitly links its role to the sibling tool make_sound. An agent can immediately tell this apart from make_sound or the feedback 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?

Gives concrete invocation contexts: offering choices before make_sound, and what to pass (CatID, category, query words, or nothing for the start of the list). It lacks an explicit 'do not use this when…' exclusion, but the routing guidance is clear.

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