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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

delete_pvc_voice_sample

DestructiveIdempotent

Delete a specific voice sample from a professional voice cloning model using the voice ID and sample ID to manage voice data.

Instructions

Delete Pvc Voice Sample

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 destructiveHint=true, idempotentHint=true, readOnlyHint=false, and openWorldHint=true, so the agent knows this is a destructive, idempotent write. The description adds nothing beyond the name: it doesn't state what gets destroyed, whether it's recoverable, or any rate/permission constraints. With annotations carrying the safety profile, the description still fails to add any behavioral context.

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?

Extremely short and front-loaded, which is efficient, but it is under-specified rather than truly concise. The single phrase carries no useful information beyond the name, so brevity here reflects a lack of content rather than tight writing.

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 destructive deletion tool with no output schema, the description should clarify what a PVC voice sample is, the relationship to voice_id, and any irreversibility. It omits all of this, leaving annotations and schema to carry the full burden. Inadequate for a destructive operation.

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%, and both voice_id and sample_id are documented in the schema (voice_id even includes the endpoint to list voices). The description repeats the term 'sample' but adds no syntax or meaning beyond the schema. Baseline 3 applies when the schema does the heavy lifting.

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 restates the tool name in title case, giving the verb+resource ('delete' + 'Pvc Voice Sample'). It conveys the purpose but is essentially a tautology of the name with no additional differentiation from siblings like delete_sample, edit_pvc_voice_sample, or delete_voice.

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?

No when-to-use guidance, no conditions, no alternative tools named. An agent must infer from the name alone that this deletes a sample belonging to a PVC voice, with no exclusions or prerequisites stated.

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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