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

Annotations only provide openWorldHint=true, so the description carries most of the burden. It does add real behavioral context: generation is asynchronous and yields a request ID, and a webhook parameter exists for completion notification. It does not disclose cost, latency, permissions, or whether generation can be cancelled.

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 first two sentences are near-duplicate restatements of the same fact ("Generate sound effects from text descriptions" / "Creates audio sound effects based on your prompt"), so only the third sentence carries unique information. Front-loading is fine, but roughly half the text is redundant.

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 5-parameter tool with full schema coverage and no output schema, the async request-ID return and fetch-audio handoff are the key missing pieces the description supplies, and it supplies them. It is silent, however, on model selection guidance and completion timing, leaving some agent-facing questions open.

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% and every parameter (prompt, model_id, webhook, duration, track_id) is documented in the schema, so the baseline is 3. The description adds no syntax, format, or constraint detail beyond what the schema already states.

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+resource ("Generate sound effects from text descriptions") that distinguishes it from music-generation and text-to-speech siblings. However, the second sentence restates the same fact rather than sharpening the differentiation, so the boundary against music-generation is left implicit.

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?

No explicit when-to-use guidance or exclusions relative to siblings like music-generation. The one useful workflow cue is that the result must be retrieved via fetch-audio, which routes the agent to the follow-up tool but says nothing about when this tool is the right choice.

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