export_batch_call

Export Batch Call Results.

SERVERElevenlabs SOURCE@aiwerk/mcp-server-elevenlabs

Medium RISK CLASS

Category Write

Parameters 11 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/export-batch-call.md

WHAT IT DOES

What export_batch_call does on Elevenlabs

AI agents use export_batch_call 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
`batch_id`	string	Yes

Parameters from the server's own tool schema.

RISK

Why export_batch_call is rated Medium

An AI agent can call export_batch_call 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 export_batch_call 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 export_batch_call, this is the rule to start with:

export_batch_call Rate-limited

export_batch_call 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": {
    "export_batch_call": {
      "limits": [
        {
          "counter": "export_batch_call_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 export_batch_call call is checked against it from then on.

FAQ

Questions about export_batch_call

What does the export_batch_call tool do? +

Export Batch Call Results. 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 export_batch_call accept? +

export_batch_call accepts 1 parameter: batch_id. Required: batch_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on export_batch_call? +

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

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

Can I rate-limit export_batch_call? +

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

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

export_batch_call 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.

KEEP EXPLORING

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