create_finetune
Create Music Finetune. Spends ElevenLabs credits.
This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/create-finetune.md
What create_finetune does on Elevenlabs
AI agents use create_finetune 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 |
|---|---|---|---|
name | string | Yes | Name for the finetune (5-200 characters). |
tags | array | — | Tags to associate with the finetune. |
model_id | string | — | |
visibility | object | — | Finetune visibility. Only 'private' and 'workspace' can be set. |
files_paths | array | — | Audio files to train on. Local paths. |
primary_genre | string | Yes | Primary musical genre of the finetune. |
files_filenames | array | — | Filenames to send for "files". Some endpoints infer the audio format from them. |
files_base64_list | array | — | Base64 contents for "files", one entry per file. Use this when the server cannot read your local disk. |
Parameters from the server's own tool schema.
Why create_finetune is rated Medium
An AI agent can call create_finetune 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 create_finetune 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 create_finetune, this is the rule to start with:
create_finetune 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 create_finetune call is checked against it from then on.
Questions about create_finetune
Create Music Finetune. 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.
create_finetune accepts 8 parameters: name, tags, model_id, visibility, files_paths, primary_genre, files_filenames, files_base64_list. Required: name, primary_genre. 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 create_finetune: 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.
create_finetune 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 create_finetune 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 create_finetune. 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.
create_finetune 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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