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mafzaal

ElevenLabs MCP Server

by mafzaal

elevenlabs_list_voices

List all available voices from your ElevenLabs account to pick the right one for text-to-speech generation. Get voice options for use with the ElevenLabs API.

Instructions

Get all available voices from your ElevenLabs account

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It only states 'Get all available voices' which implies a read operation, but does not explicitly mention read-only status, authentication requirements, pagination, or response shape. This is insufficient for a tool with zero annotation support.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, front-loaded sentence that directly states the purpose with no filler or redundant information. Every word earns its place, 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.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the tool's simplicity (no parameters, no output schema, no annotations), the description provides a clear and adequate summary of what it returns. However, it does not mention the response format (e.g., list of voice objects with IDs) or potential caveats like pagination, which would make it more complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool has no parameters, and the schema is empty, so the baseline is 4. The description adds contextual meaning by clarifying the scope ('from your ElevenLabs account'), which distinguishes this from a generic voice list. No parameter details are needed beyond this.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Get') and a specific resource ('all available voices') with scope ('from your ElevenLabs account'). This clearly distinguishes it from siblings like elevenlabs_get_voice_info (which retrieves a single voice) and elevenlabs_get_models (which retrieves models).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for retrieving the full list of voices, but does not explicitly state when to use this tool versus alternatives such as get_voice_info for details on a specific voice. It provides no exclusions or alternative recommendations, so guidance is only implied.

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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