neuroverse_feedback · Neuroverse MCP: Risk & Policy

WHAT IT DOES

What neuroverse_feedback does on Neuroverse

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

WHY IT NEEDS A POLICY

Why neuroverse_feedback needs a policy

This tool writes/submits feedback data used to tune AI agent behavior. It modifies training data or model parameters over time, which is a Write operation. While it could influence future agent behavior (making it potentially impactful), the action itself is a data submission rather than execution of commands or irreversible destruction.

From the tool's definition Submit Reinforcement Learning from Human Feedback (RLHF) data for agent tuning

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

neuroverse_feedback Rate-limited

neuroverse_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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "neuroverse_feedback": {
      "limits": [
        {
          "counter": "neuroverse_feedback_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Neuroverse, so you can run agents against it safely.

FAQ

Questions about neuroverse_feedback

What does the neuroverse_feedback tool do? +

Submit Reinforcement Learning from Human Feedback (RLHF) data for agent tuning. It is categorised as a Write tool in the Neuroverse MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on neuroverse_feedback? +

Register the Neuroverse MCP server in PolicyLayer and add a rule for neuroverse_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 Neuroverse. Nothing to install.

What risk level is neuroverse_feedback? +

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

Can I rate-limit neuroverse_feedback? +

Yes. Add a rate_limit block to the neuroverse_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 neuroverse_feedback completely? +

Set action: deny in the PolicyLayer policy for neuroverse_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 neuroverse_feedback? +

neuroverse_feedback is provided by the Neuroverse MCP server (joshua400/neuroverse). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.