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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

create_pvc_voice

Generate a professional voice clone by specifying a name and language. Enables text-to-speech applications to use personalized voices.

Instructions

Create Pvc Voice

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesThe name that identifies this voice. This will be displayed in the dropdown of the website.
labelsNo
languageYesLanguage used in the samples.
descriptionNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

D1.7/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false, which tells the agent this is a non-destructive write operation. The description adds no behavioral context beyond the word 'Create,' such as authentication needs, whether the operation is asynchronous, or what happens to existing voices. It does not contradict the annotations, but it adds essentially no transparency value.

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 its brevity reflects under-specification rather than efficient communication. It does not front-load any useful information beyond the tool name, so there is no structure or content worth preserving.

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 tool that creates a PVC voice with four parameters (two required) and only 50% schema coverage, no output schema, and no usage guidance, the description is completely inadequate. It omits prerequisites, expected behavior, return information, and any distinction from closely related sibling tools.

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?

The description says nothing about the four parameters. Schema description coverage is only 50%: name and language have descriptions in the schema, but labels and description do not. Since half of the parameters are undocumented in both the schema and the description, the description fails 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 merely restates the tool name as 'Create Pvc Voice' and provides no additional specificity about what a PVC voice is or how it differs from sibling tools like create_voice, add_voice, or edit_pvc_voice. It is a tautology that gives an agent little beyond the tool name itself.

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 versus alternatives. The description does not mention prerequisites, when to choose create_pvc_voice over create_voice or add_pvc_voice_samples, or any contextual conditions for invocation.

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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