update_finetune

Update Music Finetune. Spends ElevenLabs credits.

SERVERElevenlabs SOURCE@aiwerk/mcp-server-elevenlabs

Medium RISK CLASS

Category Write

Parameters 51 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/update-finetune.md

WHAT IT DOES

What update_finetune does on Elevenlabs

AI agents use update_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
`name`	string \| null	—
`tags`	object	—
`visibility`	object	—
`finetune_id`	string	Yes
`primary_genre`	string \| null	—

Parameters from the server's own tool schema.

RISK

Why update_finetune is rated Medium

An AI agent can call update_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

RECOMMENDED RULE

The rule that runs update_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 update_finetune, this is the rule to start with:

update_finetune Rate-limited

update_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "update_finetune": {
      "limits": [
        {
          "counter": "update_finetune_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Elevenlabs, apply this rule, and every update_finetune call is checked against it from then on.

FAQ

Questions about update_finetune

What does the update_finetune tool do? +

Update 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.

What parameters does update_finetune accept? +

update_finetune accepts 5 parameters: name, tags, visibility, finetune_id, primary_genre. Required: finetune_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on update_finetune? +

Register the Elevenlabs MCP server in PolicyLayer and add a rule for update_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.

What risk level is update_finetune? +

update_finetune is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit update_finetune? +

Yes. Add a rate_limit block to the update_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.

How do I block update_finetune completely? +

Set action: deny in the PolicyLayer policy for update_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.

What MCP server provides update_finetune? +

update_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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