list_voices
List all available ElevenLabs voices to select a voice for text-to-speech audio generation.
Instructions
List all available ElevenLabs voices
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
List all available ElevenLabs voices to select a voice for text-to-speech audio generation.
List all available ElevenLabs voices
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full burden. It only states 'List all available ElevenLabs voices' with no mention of return format, pagination, authentication, or rate limits. This provides minimal behavioral transparency beyond what the tool name already suggests.
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 front-loaded sentence with no wasted words. It directly states the action and resource, making it highly concise and well-structured.
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 simple list operation, the description adequately covers the action, but it lacks information about the output structure (e.g., does it return an array of voice IDs and names?). Since there is no output schema, the description is adequate but has clear 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?
The tool has 0 parameters, which is the baseline for a score of 4. The description accurately omits parameter details because there are none, and the schema is completely covered.
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 uses a specific verb ('List') and a specific resource ('all available ElevenLabs voices'), clearly distinguishing it from sibling tools like text_to_speech which generate audio. It precisely conveys what the tool does.
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 implies that this tool should be used to retrieve the full set of voices, but it does not explicitly mention when to use it versus alternatives or any prerequisites. Since there are no direct alternatives that list voices, the guidance is implicit, not stated.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
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