code_review · Neurodev MCP: Risk & Policy

WHAT IT DOES

What code_review does on Neurodev

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

WHY IT NEEDS A POLICY

Why code_review needs a policy

An AI agent can call code_review faster than any human can review — one bad instruction and it creates or modifies resources in Neurodev by the hundred, each call as confident as the last.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

code_review Rate-limited

code_review 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": {
    "code_review": {
      "limits": [
        {
          "counter": "code_review_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 Neurodev, so you can run agents against it safely.

FAQ

Questions about code_review

What does the code_review tool do? +

Comprehensive code review using multiple static analysis tools (pylint, flake8, mypy, bandit, radon). Returns detailed issues, security vulnerabilities, complexity metrics, and improvement suggestions. It is categorised as a Write tool in the Neurodev MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on code_review? +

Register the Neurodev MCP server in PolicyLayer and add a rule for code_review: 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 Neurodev. Nothing to install.

What risk level is code_review? +

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

Can I rate-limit code_review? +

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

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

code_review is provided by the Neurodev MCP server (ravikant1918/neurodev-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.