start_speaker_separation

A execute tool on the Elevenlabs MCP server.

SERVERElevenlabs SOURCE@aiwerk/mcp-server-elevenlabs

High RISK CLASS

Category Execute

Parameters 22 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/start-speaker-separation.md

WHAT IT DOES

What start_speaker_separation does on Elevenlabs

AI agents invoke start_speaker_separation to trigger actions in Elevenlabs. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call: builds kicked off, notifications sent, workflows started.

Parameter	Type	Required	Description
`voice_id`	string	Yes	Voice ID to be used, you can use https://api.elevenlabs.io/v1/voices to list all the available voices.
`sample_id`	string	Yes	Sample ID to be used

Parameters from the server's own tool schema.

RISK

Why start_speaker_separation is rated High

start_speaker_separation triggers real processes with real consequences. An agent gone sideways doesn't fire it once. It starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.

Attacks that exploit this kind of access

RECOMMENDED RULE

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

start_speaker_separation Rate-limited

start_speaker_separation stays usable, but rate-capped: a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_speaker_separation": {
      "limits": [
        {
          "counter": "start_speaker_separation_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

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

FAQ

Questions about start_speaker_separation

What does the start_speaker_separation tool do? +

start_speaker_separation is a execute tool on the Elevenlabs MCP server. It is categorised as a Execute tool in the Elevenlabs MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

What parameters does start_speaker_separation accept? +

start_speaker_separation accepts 2 parameters: voice_id, sample_id. Required: voice_id, sample_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on start_speaker_separation? +

Register the Elevenlabs MCP server in PolicyLayer and add a rule for start_speaker_separation: 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 start_speaker_separation? +

start_speaker_separation is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit start_speaker_separation? +

Yes. Add a rate_limit block to the start_speaker_separation 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 start_speaker_separation completely? +

Set action: deny in the PolicyLayer policy for start_speaker_separation. 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 start_speaker_separation? +

start_speaker_separation 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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