delete_finetune

Delete Music Finetune.

SERVERElevenlabs SOURCE@aiwerk/mcp-server-elevenlabs

Critical RISK CLASS

Category Destructive

Parameters 11 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

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

WHAT IT DOES

What delete_finetune does on Elevenlabs

AI agents call delete_finetune to permanently remove resources in Elevenlabs, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Parameter	Type	Required	Description
`finetune_id`	string	Yes

Parameters from the server's own tool schema.

RISK

Why delete_finetune is rated Critical

An AI agent that decides to call delete_finetune doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Elevenlabs is gone. There is no undo for destructive operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs delete_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 delete_finetune, this is the rule to start with:

delete_finetune Hidden

delete_finetune is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "delete_finetune"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about delete_finetune

What does the delete_finetune tool do? +

Delete Music Finetune. It is categorised as a Destructive tool in the Elevenlabs MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

What parameters does delete_finetune accept? +

delete_finetune accepts 1 parameter: finetune_id. 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 delete_finetune? +

Register the Elevenlabs MCP server in PolicyLayer and add a rule for delete_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 delete_finetune? +

delete_finetune is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit delete_finetune? +

Yes. Add a rate_limit block to the delete_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 delete_finetune completely? +

Set action: deny in the PolicyLayer policy for delete_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 delete_finetune? +

delete_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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