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

The description discloses important behaviors beyond the annotations: it requires a paid plan (Startup and up), is language-sensitive (works better in English), enforces a 30-second maximum, and makes determinism explicit with a fixed seed. These details meaningfully shape expected behavior during invocation.

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 compact and front-loaded: the core purpose appears in the first sentence, followed by three critical constraints in a tight list. Every sentence adds necessary information, and there is no filler or repetition of the schema.

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 generative tool with no output schema, the description covers input semantics, key limits, auth requirements, and reproducibility, which is strong. The only notable gap is the absence of any mention of what the tool returns (e.g., audio URL or file), but given the tool's straightforward action, this is not a major omission.

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?

With 0% schema description coverage, the description compensates well: it explains the seed parameter ('A fixed seed reproduces the same sound exactly') and the seconds limit ('Up to 30 s'). It also clarifies what the description parameter should contain via examples, though it doesn't explain the default seed value of -1 or units for seconds beyond the 's' inference.

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 starts with 'One sound effect from a description,' naming the exact verb (generate) and resource (sound effect), then gives concrete examples (door, rain, footsteps) that make the tool's scope unmistakable. The resource type 'sound effect' clearly differentiates it from the sibling generate_music.

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 provides clear context for when to use the tool: when a single sound effect is needed from a text description, with illustrative examples. It also gives practical usage guidance ('works better in English') and a prerequisite (paid plan), but does not explicitly say 'use generate_music for music' or state when not to use this tool.

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