post_conversation_feedback_route

Send Conversation Feedback.

SERVERElevenlabs SOURCE@aiwerk/mcp-server-elevenlabs

Medium RISK CLASS

Category Write

Parameters 21 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/post-conversation-feedback-route.md

WHAT IT DOES

What post_conversation_feedback_route does on Elevenlabs

AI agents use post_conversation_feedback_route 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
`feedback`	object	—
`conversation_id`	string	Yes	The id of the conversation you're taking the action on.

Parameters from the server's own tool schema.

RISK

Why post_conversation_feedback_route is rated Medium

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

post_conversation_feedback_route Rate-limited

post_conversation_feedback_route 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": {
    "post_conversation_feedback_route": {
      "limits": [
        {
          "counter": "post_conversation_feedback_route_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 post_conversation_feedback_route call is checked against it from then on.

FAQ

Questions about post_conversation_feedback_route

What does the post_conversation_feedback_route tool do? +

Send Conversation Feedback. 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 post_conversation_feedback_route accept? +

post_conversation_feedback_route accepts 2 parameters: feedback, conversation_id. Required: conversation_id. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on post_conversation_feedback_route? +

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

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

Can I rate-limit post_conversation_feedback_route? +

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

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

post_conversation_feedback_route 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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