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

With no annotations, the description carries the behavioral disclosure burden. It adds useful context about catalog scope (full, royalty-free/CC0) and the API key requirement, and 'search' implies a read-only operation. However, it does not disclose pagination behavior, rate limits, or what the response contains, which are meaningful gaps for a tool with no output schema.

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 two sentences with no filler. The core capability is front-loaded, followed by the auth constraint and a concise, helpful query-style tip. Every sentence earns its place.

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 search tool with 9 optional parameters, no annotations, and no output schema, the description covers the main search dimensions and a critical auth requirement, so an agent could invoke it correctly. But it omits the response shape, pagination semantics, and any explicit relationship with browse_samples, leaving an agent to guess at important invocation context.

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 only 56%, so the description must compensate. It adds value by explaining that q should be a natural-language query and by tying duration/category/tags to the search dimensions, but it leaves sort, order, page, and limit to be inferred from their names and enums. This is adequate but not comprehensive.

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 opens with a specific verb and resource: 'Search the full royalty-free (CC0) catalog.' It names the search dimensions (natural-language query, tags, category, duration), which clearly distinguishes it from the sibling operations download_sound and get_sound and signals that it covers the full catalog rather than a limited sample browse.

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?

It gives actionable guidance on how to phrase queries ('Prefer descriptive natural-language queries') with a concrete example, and it discloses the Pro or Enterprise API key prerequisite before invocation. It does not explicitly say when to choose this over browse_samples, so it falls short of full when-to-use versus alternative guidance.

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