dubbing_target_transcript_segment_update
Update Dubbing Target Transcript Segment. Spends ElevenLabs credits.
This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/dubbing-target-transcript-segment-update.md
What dubbing_target_transcript_segment_update does on Elevenlabs
AI agents use dubbing_target_transcript_segment_update to create or update resources in Elevenlabs, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Elevenlabs environment.
| Parameter | Type | Required | Description |
|---|---|---|---|
project_id | string | Yes | Identifier of the dubbing project. |
segment_id | string | Yes | Identifier of the segment to edit. |
language_id | string | Yes | Identifier of the language target. |
translation | string | null | — |
Parameters from the server's own tool schema.
Why dubbing_target_transcript_segment_update is rated Medium
An AI agent can call dubbing_target_transcript_segment_update faster than any human can review: one bad instruction and it creates or modifies resources in Elevenlabs by the hundred, each call as confident as the last.
Attacks that exploit this kind of access
The rule that runs dubbing_target_transcript_segment_update safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Elevenlabs, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For dubbing_target_transcript_segment_update, this is the rule to start with:
dubbing_target_transcript_segment_update stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Elevenlabs, apply this rule, and every dubbing_target_transcript_segment_update call is checked against it from then on.
Questions about dubbing_target_transcript_segment_update
Update Dubbing Target Transcript Segment. Spends ElevenLabs credits. It is categorised as a Write tool in the Elevenlabs MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
dubbing_target_transcript_segment_update accepts 4 parameters: project_id, segment_id, language_id, translation. Required: project_id, segment_id, language_id. The full parameter table on this page comes from the server's own tool schema.
Register the Elevenlabs MCP server in PolicyLayer and add a rule for dubbing_target_transcript_segment_update: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Elevenlabs. Nothing to install.
dubbing_target_transcript_segment_update is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the dubbing_target_transcript_segment_update rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for dubbing_target_transcript_segment_update. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
dubbing_target_transcript_segment_update is provided by the Elevenlabs MCP server (@aiwerk/mcp-server-elevenlabs). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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