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

With no annotations, the description carries the full burden and does well: it discloses per-variation credit cost ('Each sound (variation) costs 1 credit') and that returns are time-limited download URLs valid 24 h. It omits auth/plan requirements and failure behavior, but cost and output-expiry are the two facts an agent most needs.

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?

Three dense sentences, front-loaded with purpose, then cost/return behavior, then a practical usage tip. Every sentence carries information; only minor trimming is possible.

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 annotations and no output schema, the description covers purpose, output format (WAV), cost model, and result lifetime — enough for an agent to call it correctly. Failure modes, plan cap behavior, and richer output detail are absent but not critical.

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%, so all six parameters (loop, style, format, variations, duration, description) are already documented in-schema with enums and defaults. The description reinforces the variations semantics ('ask for 3–4 variations') but adds no format or syntax detail beyond the schema, so baseline 3 applies.

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 ('Create game-ready sound effects (WAV) from a text description') and enumerates the sound categories covered, so the agent knows exactly what this produces. It does not name or contrast any sibling (list_sounds, make_variations, download_sound), so differentiation relies on the reader's inference.

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 operative guidance — 'Describe one concrete sound; ask for 3–4 variations for sounds that repeat (footsteps, hits)' — which tells the agent how to call it well. It stops short of naming alternatives or stating when not to use it (e.g. use make_variations to extend an existing sound).

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