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ElevenLabs Voice-to-Voice Agent

ElevenLabs Voice-to-Voice Agent

by Begwen
OverviewSchemaSourceRelated ServersDiscussionsAdmin
JavaScript
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text_to_speech

Converts text into spoken audio using ElevenLabs. Creates an MP3 file and returns its file path for immediate use.

Instructions

Convert text to speech using ElevenLabs. Saves the audio as an MP3 file and returns the file path.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "text": "<text>"
    },
    "name": "text_to_speech"
  }
}

Input Schema

NameRequiredDescriptionDefault
textYesThe text to convert to speech
model_idNoModel ID (default: eleven_multilingual_v2)
voice_idNoVoice ID to use (default: Rachel — 21m00Tcm4TlvDq8ikWAM)
stabilityNoVoice stability 0-1 (default: 0.5)
output_filenameNoOutput filename (default: output_<timestamp>.mp3)
similarity_boostNoVoice similarity boost 0-1 (default: 0.75)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.8/5.0
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It discloses that it saves an MP3 file and returns the file path, but does not mention authentication, rate limits, or file overwrite behavior.

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?

Two concise sentences with no filler. The main verb 'Convert' is front-loaded, and the second sentence adds the key side effect and return value without wasted words.

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 no output schema, the description states the return value (file path) and the primary side effect (saves MP3). Schema covers all parameters. Missing context includes external service usage implications, file location, and any limitations.

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

Parameters3/5

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

Schema coverage is 100%, with every parameter described in the schema. The description adds no parameter-specific context beyond what the schema already provides, placing it at the baseline.

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 clearly states the action 'Convert text to speech using ElevenLabs' and specifies the outcome (saves MP3, returns file path). This distinguishes it from sibling tools like speech_to_text and voice management tools.

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 does not explicitly state when to use this tool over alternatives or mention exclusions. The purpose is straightforward, so usage can be inferred, but no direct guidance is provided.

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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