Medium Risk

pluggedin_cbp_feedback

Submit feedback on a collective pattern to improve quality. Rate patterns as helpful, inaccurate, outdated, or dangerous.

How to control pluggedin_cbp_feedback ↓

AI agents use pluggedin_cbp_feedback to create or update resources in Pluggedin Mcp Proxy — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Pluggedin Mcp Proxy environment.

Medium Risk

This tool writes/submits feedback data (ratings and classifications) to a system. It creates or modifies feedback records reversibly. The blast radius is low since misuse would at most submit incorrect feedback ratings, which can likely be corrected.

From the tool's definition Submit feedback on a collective pattern to improve quality. Rate patterns as helpful, inaccurate, outdated, or dangerous.

Documented attack patterns abuse exactly the kind of access pluggedin_cbp_feedback gives an agent:

PolicyLayer is an MCP gateway — it sits between your AI agents and Pluggedin Mcp Proxy, and nothing reaches the server without passing your rules. This is the rule we recommend for pluggedin_cbp_feedback:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "pluggedin_cbp_feedback": {
      "limits": [
        {
          "counter": "pluggedin_cbp_feedback_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

pluggedin_cbp_feedback 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.

  1. Create a free account and register Pluggedin Mcp Proxy — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Go deeper

What does the pluggedin_cbp_feedback tool do? +

Submit feedback on a collective pattern to improve quality. Rate patterns as helpful, inaccurate, outdated, or dangerous. It is categorised as a Write tool in the Pluggedin Mcp Proxy MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on pluggedin_cbp_feedback? +

Register the Pluggedin Mcp Proxy MCP server in PolicyLayer and add a rule for pluggedin_cbp_feedback: 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 Pluggedin Mcp Proxy. Nothing to install.

What risk level is pluggedin_cbp_feedback? +

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

Can I rate-limit pluggedin_cbp_feedback? +

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

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

pluggedin_cbp_feedback is provided by the Pluggedin Mcp Proxy MCP server (veriteknik/pluggedin-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Pluggedin Mcp Proxy tool call.

Deterministic rules across all 27 Pluggedin Mcp Proxy tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.

Free to start. No card required.

27 Pluggedin Mcp Proxy tools catalogued and risk-classified — across an index of 42,500+ MCP servers.

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