Venice TTS (Speech)

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

With no annotations provided, the description carries the full disclosure burden. It adds useful context about supported features (cloned voices, emotion tags) and auth methods (x402 wallet, API key). However, it doesn't disclose output format details, latency, cost, rate limits, or whether voice cloning requires prior setup. The two overlapping sentence fragments about emotion tags are a minor transparency concern.

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 reasonably concise but somewhat disorganized and redundant. Sentence 1 states purpose and features; sentence 2 repeats the voice cloning + emotion tag point nearly verbatim; sentence 3 covers auth. The redundant middle sentence wastes space and could be merged, and the operator-preferences detail reads as internal context rather than end-user guidance.

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 TTS tool with 5 params, no output schema, and no annotations, the description covers core capability, key features, model defaults, and auth. But it omits practical details: typical output format default, how to discover available voices (though 'venice://voices' hint is there via schema), whether speed applies to all models, and behavior when input exceeds limits (schema handles maxLength but not truncation behavior). Adequate but with gaps.

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 coverage is 40% (input and voice have descriptions; model, speed, response_format lack descriptions). The description adds some value by mentioning the default model and supported response concepts indirectly (emotion tags relate to input). However, it doesn't explain speed semantics (0.25-4 range meaning), response_format trade-offs, or how model selection works. Doesn't fully compensate for the coverage gap.

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 speech' with a specific verb+resource. It distinguishes itself from siblings by highlighting unique features (voice cloning, emotion tags, x402 auth). However, it doesn't explicitly differentiate from venice_voice_clone, and the second sentence ('Voice cloning + emotion tags...') is somewhat redundant with the first.

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?

The description provides useful default model preference ('default: tts-kokoro; also try: elevenlabs-tts') and auth options (x402 wallet vs API key). However, it doesn't explicitly state when to use this instead of alternatives like venice_voice_clone, venice_audio_quote, or venice_asr. No exclusions or when-not-to-use guidance.

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