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@aiwerk/mcp-server-elevenlabs

@aiwerk/mcp-server-elevenlabs

by AIWerk
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

dubbing_transcript_segments_update

Update dubbing transcript segments for a project to correct text or timing. Consumes ElevenLabs credits.

Instructions

Update Dubbing Transcript Segments Spends ElevenLabs credits.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "project_id": "<project_id>",
      "segments": "<segments>"
    },
    "name": "dubbing_transcript_segments_update"
  }
}

Input Schema

NameRequiredDescriptionDefault
segmentsYesMap of segment ID to the partial update to apply to that segment. At least one entry and at most 500.
project_idYesIdentifier of the dubbing project.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.7/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description does add one genuinely new behavioral fact beyond annotations: the call spends ElevenLabs credits. However, it omits batching semantics, partial-update behavior, failure modes, and credit magnitude, so it is only a partial supplement.

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

Conciseness3/5

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

It is very short, which is good, but the single sentence is a broken run-on that fuses the action with the cost clause ('...Segments Spends ElevenLabs credits'). The credit warning would land better as a separate, clearly punctuated sentence rather than being spliced onto the operation name.

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 mutating, non-idempotent tool taking a nested map of segment IDs to partial updates, the description should at least explain the partial-update semantics, the 500-entry cap consequence, or the response behavior. The schema documents the map shape but the description leaves behavioral gaps beyond credit cost, and there is no output schema to fill them.

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 both parameters (project_id and the segments map) are already documented in the schema, including the 1-to-500 entry bound. The description adds no parameter-level meaning, so the baseline of 3 applies.

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

Purpose3/5

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

The description names the verb (Update) and resource (Dubbing Transcript Segments) but is essentially the tool name with underscores removed, so it reads close to a tautology. Critically, it does not distinguish itself from the near-identical siblings dubbing_transcript_segment_update, dubbing_target_transcript_segments_update, and dubbing_target_transcript_segment_update, so an agent cannot tell which one to pick from the description alone.

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 the singular segment update or the target-transcript variants, and no prerequisites or context are stated. The only usage-adjacent signal is the credit cost, which warns of expense but does not route the agent to the correct alternative.

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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