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AIWerk

@aiwerk/mcp-server-elevenlabs

by AIWerk

dubbing_project_get

Read-onlyIdempotent

Fetch a dubbing project by its ID to review status, metadata, and details through the ElevenLabs API.

Instructions

Get Dubbing Project

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
project_idYesIdentifier of the dubbing project to fetch.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.3/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is fully covered by structured data. The description adds no behavioral context beyond that, not even confirming a single-project fetch returns one record.

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

Conciseness2/5

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

The text is a four-word fragment with no real structure or front-loaded information. It is short, but only because it is under-specified rather than because every sentence earns its place.

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 simple single-parameter read tool with full schema coverage and rich annotations, the sparse description is minimally adequate, but with no output schema the agent gets no hint about what the fetched project contains. Slight gap remains.

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% and there is a single required parameter (project_id) with an in-schema description ('Identifier of the dubbing project to fetch'). Per the baseline rule, a 3 is appropriate; the description adds nothing further.

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

Purpose2/5

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

The description 'Get Dubbing Project' merely restates the tool name and title, effectively a tautology. It does hint at fetching a dubbing project, but gives no scope, no differentiation from siblings like dubbing_project_list, dubbing_project_create, or dubbing_project_delete, so an agent gains nothing beyond the name.

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?

There is no guidance on when to use this tool versus alternatives such as dubbing_project_list (to enumerate projects) or dubbing_project_create/delete. The agent must infer usage purely from the name.

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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