Skip to main content
Glama

elevenlabs_list_voices

Retrieve the voices available on your ElevenLabs account so you can pick the right voice for AI narration and audio in your Premiere Pro edits.

Instructions

List the voices on your ElevenLabs account

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3.1/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden, yet it says nothing about authentication requirements (ElevenLabs API key), whether the listing is paginated, or whether it includes default/shared/generated voices. Only the 'on your account' scoping hints at ownership behavior.

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

Conciseness4/5

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

A single sentence with no waste, and the scope constraint is front-loaded. It is efficient but so terse that it borders on under-specification rather than optimal structure.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

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

For a zero-parameter list tool with no annotations and no output schema, the description is minimally adequate: the agent can call it, but it does not know what a voice record contains or whether the result is truncated. One extra clause about the returned fields would make it 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 takes zero parameters, which is the baseline-4 case; there is nothing for the description to disambiguate. It correctly implies the call is unfiltered and account-scoped.

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

Purpose4/5

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

States a specific verb (List) and resource (voices) scoped to the user's ElevenLabs account, so the agent knows exactly what it returns. It does not distinguish itself from the sibling ElevenLabs tools (elevenlabs_generate_speech, elevenlabs_voice_lines), which is the only gap.

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

Usage Guidelines2/5

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

There is no explicit when-to-use guidance and no mention of the related sibling elevenlabs_voice_lines, which an agent could plausibly confuse with voice discovery. Usage is only inferable from the tool name and one-line purpose.

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

Deploy Server

Other Tools