Skip to main content
Glama
AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

run_pvc_voice_training

Start training a Professional Voice Clone model using a specified voice ID, with an optional model ID to customize the ElevenLabs voice cloning process.

Instructions

Run Pvc Training

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
model_idNo
voice_idYesVoice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.3/5.0
Behavior1/5

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

Annotations state readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false, so the agent knows this is a non-read-only, non-idempotent operation. However, the description adds no behavioral context beyond the title, and does not explain what training entails, what state changes occur, or any side effects or prerequisites.

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?

The description is extremely short, but this is under-specification rather than concise structure. It lacks any front-loaded useful detail, so brevity here does not earn a higher score.

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 mutation-like training operation with no output schema and only partial annotation coverage, the description is completely inadequate. It gives an agent no basis to understand what the tool returns, what permissions are needed, or how to handle the training process.

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

Parameters1/5

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

Schema description coverage is only 50%: voice_id has a description pointing to a list endpoint, but model_id has no description. The tool description provides no additional parameter meaning, leaving model_id entirely undocumented and failing to compensate for the coverage gap.

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?

The description 'Run Pvc Training' is essentially a restatement of the tool name and title. It vaguely indicates an action on a 'Pvc Training' resource, but gives no detail on what training means, what it operates on, or how it differs from sibling tools like create_pvc_voice or add_pvc_voice_samples.

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

Usage Guidelines1/5

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

There is no guidance on when to use this tool, when not to, or what alternatives exist. With many related PVC voice tools in the sibling list, the absence of any routing information is a critical gap.

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