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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

verify_pvc_voice_captcha

Verifies a captcha for PVC voice cloning by matching an audio recording to a voice ID. Confirms user identity.

Instructions

Verify Pvc Voice Captcha

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
voice_idYesVoice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.
recording_pathNoAudio recording of the user Local path. Required for this call.
recording_base64NoBase64 contents for "recording". Use this when the server cannot read your local disk.
recording_filenameNoFilename to send for "recording". Some endpoints infer the audio format from it.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2/5.0
Behavior2/5

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

Annotations declare readOnlyHint=false, openWorldHint=true, and idempotentHint=false, but the description adds nothing about side effects, what state changes on success/failure, or whether the verification can be retried. It fails to carry any of the behavioral burden left open by the annotations.

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?

It is short, but this is under-specification rather than conciseness - a single four-word title restating the name provides no front-loaded information an agent can act on.

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

Completeness2/5

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

For a non-read-only, open-world verification operation with four parameters and no output schema, the description omits everything an agent needs to call it correctly: expected input pairing, success/failure semantics, and prerequisites.

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 description coverage is 100% - the three optional recording variants and voice_id are fully documented in the schema itself. The description adds no parameter meaning, so the baseline of 3 applies.

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 is a verbatim restatement of the tool name with no added explanation of what the verification actually does, what a 'captcha' check entails, or how it differs from siblings like get_pvc_voice_captcha or request_pvc_manual_verification.

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 invoke this tool, what precondition (a pending captcha challenge?) must hold, or which sibling to use instead. The agent must guess 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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