speak

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

With no annotations, the description must expose behavioral traits. It only states the conversion action, omitting crucial details such as whether the tool returns a file path, the audio format, model download behavior, or the effect of the optional output_path parameter. This leaves significant unknown side effects.

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 a single, simple sentence with no extraneous words. It is front-loaded with the core action. However, it is arguably too terse to serve as a complete tool guide, though for conciseness alone it earns a high score.

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 six parameters, no output schema, and no annotations, the description is insufficiently complete. It lacks mention of the return type, file saving behavior, or operational side effects such as model downloads. This makes it difficult for an agent to know what to expect after invocation.

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 input schema provides descriptions for all six parameters, achieving 100% coverage. The description adds no parameter-specific information, so it neither enhances nor detracts from the schema's semantics. Baseline 3 is appropriate.

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 the tool's function with a specific verb ('Convert') and resource ('text to speech') plus the engine ('Coqui TTS'), making it easily understandable. However, it does not explicitly differentiate from sibling tools like synthesize_long_text or clone_voice, though the core purpose is distinct enough.

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 usage guidance is provided. The description does not mention when to prefer this tool over list_models, synthesize_long_text, or clone_voice, nor any exclusions. The agent must infer context from sibling names alone.

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