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elevenlabs_get_dubbing_transcripts

Read-onlyIdempotent

Retrieve A Transcript. Fetch the transcript for one of the languages in a dub.

Bulk support: accepts dubbing_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
dubbing_idYes
dubbing_idsNo
format_typeYes
language_codeYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds the useful bulk-execution behavior and language scoping, but it does not disclose return format or output behavior, especially given that no output schema is present.

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?

The description is short and front-loaded, with the bulk-support note earning its place. The opening 'Retrieve A Transcript' is somewhat redundant with the following sentence, but the overall structure is efficient.

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

Completeness3/5

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

For a read-only retrieval tool with strong annotations, the core purpose is clear and bulk behavior is mentioned. However, with no output schema and no description of response/return characteristics, the tool is not fully self-contained for an agent trying to anticipate output shape or format_type behavior.

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?

With 0% schema description coverage, the description partially compensates: 'transcript for one of the languages' explains dubbing_id and language_code, and 'accepts dubbing_ids for batched execution' explains the optional bulk parameter. However, format_type and account are not described, and the required format_type parameter lacks semantic context beyond its enum values.

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?

The description uses a specific verb ('Fetch') and identifies the resource precisely as 'the transcript for one of the languages in a dub.' It is clear and more informative than the bare name, but it does not differentiate itself from similarly named siblings like elevenlabs_dubbing_transcript_get.

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

Usage Guidelines4/5

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

The description gives a concrete usage context: fetching a dub transcript for a specific language, and it calls out batch execution via dubbing_ids. It does not discuss when to prefer an alternative tool or provide exclusions, so it stops short of full guidance.

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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