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elevenlabs_run_pvc_voice_training

Run Pvc Training. Start PVC training process for a voice.

Bulk support: accepts voice_ids, model_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
model_idNo
voice_idYes
model_idsNo
voice_idsNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.3/5.0
Behavior3/5

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

Annotations indicate readOnlyHint=false and idempotentHint=false, so the tool modifies state. The description simply says 'Start PVC training process' without detailing side effects, duration, costs, or what happens to the voice during training. It does not contradict annotations but adds minimal behavioral context beyond the fact that it's a state-changing action.

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?

The description is very short and contains a redundant opening sentence ('Run Pvc Training') that essentially restates the tool name. The second sentence adds useful bulk information but overall the structure is minimal. It is concise but could be more informative without being verbose.

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?

With 5 parameters, no output schema, and no parameter descriptions in the schema, the description is severely underspecified. It does not explain return values, prerequisites, side effects, or how training progresses. The bulk support note is a small plus, but the tool's overall behavior and required inputs are largely unexplained.

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?

Schema description coverage is 0%, so the description must compensate. It mentions bulk support for voice_ids and model_ids, which adds some meaning, but it does not explain the required voice_id parameter or model_id, account, or the relationship between singular and plural forms. The description barely covers the parameters, leaving most undocumented.

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

Purpose5/5

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

The description clearly states the action: 'Start PVC training process for a voice.' It uses a specific verb ('Start') and identifies the resource (PVC training). This distinguishes it from siblings like create or edit PVC voices, so the purpose is unambiguous.

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

Usage Guidelines3/5

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

The description provides a usage hint about bulk execution ('Bulk support: accepts voice_ids, model_ids for batched execution') but does not specify when to use this tool compared to alternatives, prerequisites, or exclusions. The context implies it is for initiating training, but no when-not-to-use guidance is 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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