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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

get_pvc_sample_speakers

Read-onlyIdempotent

Retrieve the speaker separation status for a voice sample by providing voice and sample IDs, so you can confirm when speaker separation finishes.

Instructions

Retrieve Speaker Separation Status

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.
sample_idYesSample ID to be used

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.5/5.0
Behavior2/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and openWorld behavior, so the safety profile is covered. The description adds essentially nothing beyond the title, not explaining what 'speaker separation status' contains (e.g., in-progress/complete, speaker count) or whether the sample must first be processed.

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

Conciseness3/5

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

It is a single front-loaded phrase with no wasted words, but it is under-specified rather than genuinely concise – the brevity comes at the cost of missing information rather than distilling it.

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 read tool with two required params and no output schema, the description should clarify what the returned status represents and any interplay with sample processing. It provides none of this, and the name/description mismatch leaves the tool's behavior ambiguous.

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%, so both voice_id and sample_id are documented in the schema (voice_id even links the voices listing endpoint). The description adds no parameter meaning beyond that, so the baseline of 3 applies.

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

Purpose3/5

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

The description states a plausible verb+resource (retrieve speaker separation status), but it does not match the tool name get_pvc_sample_speakers cleanly, leaving the agent unsure whether it returns speaker data or a job status. It also does not differentiate from siblings like get_pvc_sample_audio or start_speaker_separation.

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 call this tool versus alternatives such as start_speaker_separation (to launch separation) or get_pvc_sample_audio (to fetch audio). No prerequisites or context are given.

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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