elevenlabs_generate_captions_voice

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

No annotations are provided, so the description carries the full disclosure burden. It does reveal the key side effect (creates individual audio files, optionally places them on the timeline), but says nothing about where files are written, what happens to existing timeline audio at those positions, whether the operation costs API credits, or what is returned.

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?

Two short sentences with the core action front-loaded and the side effect second. Nothing is padded, though the second sentence partly duplicates what add_to_timeline and start already state.

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 6-parameter generative tool with side effects, no annotations and no output schema, the agent still lacks the return shape (file paths? created clip references?) and any auth or quota constraints. The description covers what the tool does but not enough to predict the result of the call.

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% and each parameter already documents its type, default and meaning (speed range, model_id default, audio_track index, add_to_timeline default). The description adds only a restatement of the captions-array behavior and the optional timeline placement, which the schema already covers.

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 ('Generate AI voiceover') plus the scope that distinguishes it: multiple caption texts, one audio file each. It implicitly contrasts with the single-utterance sibling elevenlabs_generate_speech but never names it, so the differentiation requires 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?

Usage is implied by the scenario ('for multiple caption texts'), and the timeline placement is framed as optional, which hints at the add_to_timeline decision. There is no explicit when-to-use versus elevenlabs_generate_speech or when-not guidance, and no prerequisites such as needing a voice_id or API key.

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