edit_chapter

Update Chapter. Spends ElevenLabs credits.

SERVERElevenlabs SOURCE@aiwerk/mcp-server-elevenlabs

Medium RISK CLASS

Category Write

Parameters 42 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/edit-chapter.md

WHAT IT DOES

What edit_chapter does on Elevenlabs

AI agents use edit_chapter 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
`name`	string \| null	—
`content`	object	—
`chapter_id`	string	Yes	The ID of the chapter.
`project_id`	string	Yes	The ID of the Studio project.

Parameters from the server's own tool schema.

RISK

Why edit_chapter is rated Medium

An AI agent can call edit_chapter 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.

Risk signalsAccepts raw HTML/template content (content)

Attacks that exploit this kind of access

RECOMMENDED RULE

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

edit_chapter Rate-limited

edit_chapter 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": {
    "edit_chapter": {
      "limits": [
        {
          "counter": "edit_chapter_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 edit_chapter call is checked against it from then on.

FAQ

Questions about edit_chapter

What does the edit_chapter tool do? +

Update Chapter. 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 edit_chapter accept? +

edit_chapter accepts 4 parameters: name, content, chapter_id, project_id. Required: chapter_id, project_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on edit_chapter? +

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

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

Can I rate-limit edit_chapter? +

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

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

edit_chapter 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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