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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

get_dubbed_file

Read-onlyIdempotent

Retrieve dubbed audio as MP3 bytes for a given dubbing project and language. Save to a specified path or return inline base64 for small files.

Instructions

Get Dubbed File Returns audio/mpeg bytes; pass output_path to save them.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dubbing_idYesID of the dubbing project.
output_pathNoWhere to write the returned bytes. Relative paths resolve against ELEVENLABS_OUTPUT_DIR. Omit it to get the data inline as base64 (small files only).
language_codeYesID of the language.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds the useful behavioral detail that the tool returns audio/mpeg bytes, but it omits auth requirements, large-file/base64 caveats, and pagination or streaming behavior.

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?

Very short and front-loaded, with no wasted padding. The opening sentence runs 'Get Dubbed File Returns audio/mpeg bytes' together without punctuation, which is slightly awkward but not enough to impede use.

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

Completeness4/5

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

There is no output schema, so the description must name the return type, which it does (audio/mpeg bytes), and the schema fully documents the inputs. For a simple read/retrieve tool whose safety profile is covered by annotations, this is nearly complete, with only usage and auth context missing.

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 dubbing_id, language_code, and output_path are all documented in the schema. The description only echoes output_path's save behavior, adding no syntax or format detail beyond the schema, so the baseline 3 applies.

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 (Get) and resource (Dubbed File) plus the return media type (audio/mpeg bytes), so the agent knows it fetches the rendered audio. It does not, however, distinguish itself from close siblings like get_dubbed_transcript_file, get_dubbed_metadata, or get_dubbing_resource, which all sound like plausible ways to 'get' dubbing output.

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?

The description says nothing about when to use this tool versus the many dubbing siblings (metadata, transcript file, dubbing resource). There are no prerequisites, no exclusions, and no routing guidance, leaving the agent to infer the choice 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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