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MCPGeneration-for-ElevenLabs

MCPGeneration-for-ElevenLabs

create_dubbing_project

Create a dubbing project from a local audio or video file, specifying source and target languages, with paid authorization gates to control charges.

Instructions

Create a dubbing project from a local audio/video file. This operation may charge before an output is produced and requires both paid authorization gates.

Input Schema

NameRequiredDescriptionDefault
model_idNo
referenceNo
allow_paidNo
input_pathYes
source_languageNo
target_languageNo
allow_unknown_costNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.1/5.0
Behavior3/5

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

With no annotations supplied, the description carries the full burden, and it does add real value by disclosing that charges may occur before output and that paid authorization gates must be satisfied. It omits other important behavior: whether creation is asynchronous, what permissions are needed, and what happens if the cost is unknown or gates are not passed.

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

Conciseness4/5

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

Two tight sentences with the operation stated first and the cost/authorization caveat second; no filler. It is efficient, though it spends its limited space on caveats rather than the undocumented parameters.

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 charge-incurring creation tool with 7 undocumented parameters and no output schema or annotations, the description is thin. It never clarifies the async lifecycle, the enum choice for model_id, or language parameter requirements, so an agent would still be guessing on most invocation details.

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% across 7 parameters, and the description explains none of them individually. The mention of 'paid authorization gates' loosely gestures at allow_paid and allow_unknown_cost, but model_id, source_language, target_language, reference, and input_path receive no added meaning, leaving the schema to speak for itself.

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

Purpose4/5

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

States a specific verb and resource (create a dubbing project) and names the input source (local audio/video file), which cleanly separates it from siblings like add_dubbing_language, get_dubbing_status, and delete_dubbing_project. It stops short of explicitly contrasting with those siblings, so it lands at 4 rather than 5.

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 signals a precondition for use ('requires both paid authorization gates') and warns of charging, which implicitly tells the agent this is a paid-path operation. However, it never says when to pick this over alternatives, nor how the project lifecycle continues (e.g., status polling via get_dubbing_status).

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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