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@aiwerk/mcp-server-elevenlabs

@aiwerk/mcp-server-elevenlabs

by AIWerk
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

edit_pvc_voice

Update a professional voice clone's name, labels, language, and description using its voice ID to modify voice metadata.

Instructions

Edit Pvc Voice

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": {
      "voice_id": "<voice_id>"
    },
    "name": "edit_pvc_voice"
  }
}

Input Schema

NameRequiredDescriptionDefault
nameNoThe name that identifies this voice. This will be displayed in the dropdown of the website.
labelsNo
languageNoLanguage used in the samples.
voice_idYesVoice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.
descriptionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, idempotentHint=false, and openWorldHint=true, so the mutation and safety profile is partially covered by structured data. The description contributes nothing on top of this — no mention of which fields are mutated, whether the change is reversible, or any requirements.

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

Conciseness2/5

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

Three words that are technically concise but convey no information; this is under-specification rather than effective brevity. No meaningful content is front-loaded because there is no content.

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

Completeness1/5

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

For a five-parameter mutation tool with no output schema and gaps in parameter documentation, the description omits everything an agent needs: what is editable, side effects, and prerequisites. It is effectively absent.

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

Parameters2/5

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

Schema description coverage is only 60% and the description supplies no parameter meaning at all. name, language, and voice_id have inline schema descriptions, but labels and description fields are undocumented in both the schema and the description, leaving the agent to guess.

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

Purpose2/5

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

"Edit Pvc Voice" merely restates the tool name in title case; it is a tautology with no added verb, scope, or constraint. It does nothing to distinguish this tool from alphabetically adjacent siblings such as edit_pvc_voice_sample, add_pvc_voice_samples, or delete_pvc_voice_sample.

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 indication of when to use this tool, when not to, or which sibling handles which voice-editing scenario. An agent must infer everything from the name alone.

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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