This record as markdown: /tools/aiwerk-mcp-server-elevenlabs/get-finetunes.md
What get_finetunes does on Elevenlabs
AI agents call get_finetunes to retrieve information from Elevenlabs without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
sort | string | — | Sort by field (created_at or name) |
cursor | string | null | — | Used for fetching the next page. Cursor is returned in the response. |
page_size | number | — | How many finetunes to return. Max 150, default 50. |
created_by | object | — | Filter by creator. 'self' returns finetunes you created; 'workspace' returns finetunes created by workspace teammates; 'elevenlabs' returns ElevenLabs curated f |
visibility | object | — | Filter by visibility. 'private' returns private finetunes; 'workspace' returns workspace-shared finetunes; 'public' returns public finetunes, which are currentl |
sort_direction | string | — | Sort direction (asc or desc) |
Parameters from the server's own tool schema.
Why get_finetunes is rated Low
Even though get_finetunes only reads data, uncontrolled read access leaks sensitive information and racks up API costs: an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
The rule that runs get_finetunes 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 get_finetunes, this is the rule to start with:
get_finetunes is read-only, so it stays allowed. 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 get_finetunes call is checked against it from then on.
Questions about get_finetunes
Get Music Finetunes. It is categorised as a Read tool in the Elevenlabs MCP Server, which means it retrieves data without modifying state.
get_finetunes accepts 6 parameters: sort, cursor, page_size, created_by, visibility, sort_direction. 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 get_finetunes: 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.
get_finetunes is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_finetunes 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 get_finetunes. 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.
get_finetunes 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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