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elevenlabs_dubbing_language_create

Create Dubbing Language Target. Queue a language target for a project (starts once the project is ready).

Bulk support: accepts project_ids for batched execution.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
accountNo
project_idYes
project_idsNo
translationsNo
voice_settingsNo
target_languageYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior3/5

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

Annotations include readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=false. The description adds that the action is queued and starts once the project is ready, which is useful behavioral context beyond annotations. It also mentions bulk support. However, it doesn't disclose potential side effects, rate limits, or what happens on failure. Given annotations already indicate it's not read-only and not destructive, the description adds some value but not extensive transparency.

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 very concise: two sentences. It front-loads the primary purpose and then adds the bulk support note. No wasted words. However, it could be slightly more structured by separating the bulk support into a clear note, but it's already quite efficient.

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?

Given the tool has 6 parameters, 0% schema description coverage, no output schema, and no enums, the description is insufficient. It doesn't explain what a 'language target' is, what 'translations' or 'voice_settings' do, or what the expected outcome is. The bulk support is mentioned but not detailed. The description is too sparse for the complexity of the tool, especially with no other structured information to rely on.

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 for parameter meaning. The description only mentions project_ids for bulk support, but doesn't explain the meaning of project_id, target_language, translations, voice_settings, or account. The schema provides types but no descriptions. The description adds minimal value for parameters, leaving the agent to guess what 'translations' or 'voice_settings' mean in this context. This is a significant gap.

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 clearly states the tool's purpose: 'Create Dubbing Language Target' and 'Queue a language target for a project'. It identifies the resource (dubbing language target) and the action (create/queue). It distinguishes from siblings like elevenlabs_dubbing_language_delete/get/list by focusing on creation. However, it doesn't explicitly contrast with those siblings, so it's not a 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 mentions 'starts once the project is ready', which gives some context on when the queued action takes effect. It also mentions bulk support via project_ids. However, it doesn't explicitly state when to use this tool vs alternatives, nor does it provide exclusions or prerequisites beyond the implicit 'project ready' condition. The guidance is implied but not fully explicit.

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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