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

With no annotations, the description carries the full burden and does so extensively: it discloses the async dispatch to Modal workers, variable credit costs, exclusions for Day Pass, file deletion with audit trail, and workspace unlock policies. These are significant behavioral traits beyond basic purpose.

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 front-loaded with the core purpose and remains mostly efficient. Minor redundancy appears in the extra pricing/workspace details and a typo ('output.. AI Studio'), which slightly reduces conciseness.

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?

Given no output schema or annotations, the description is notably complete: it covers purpose, voices, engine tiers, credit usage, file retention, and audit path. However, it lacks an explicit statement of the return format (e.g., audio URL), which would fully close the loop for an agent.

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?

The schema has 0 parameters, so baseline is 4. The description adds context by mentioning 6 voices in English and Spanish and engine tiers, hinting at possible inputs, but does not define specific parameter names or formats. This marginally enhances semantic understanding.

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 clearly states 'Convert text to natural-sounding speech using AI' with details on voices and engine tiers, which makes the purpose unmistakable. However, it does not explicitly name sibling alternatives, so it lacks overt differentiation within the toolset.

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?

Operational context is provided (AI Studio run, credits, file deletion), but there is no explicit guidance on when to use this tool versus other AI tools like voice cloner or transcriber. Usage is implied from the purpose but not directly stated.

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