code_review

THE RISK

Low Risk

Why code_review needs a policy

The tool analyzes Git changes for review purposes, which is a read-only operation that retrieves and examines code without creating, modifying, deleting, or executing anything. The analysis produces information/insights but has no side effects on the codebase, repositories, or external systems.

From the tool's definition Tool name 'code_review' and description 'Perform automated code review analysis on Git changes' indicate analysis and inspection of existing code without modification or execution.

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

POLICY

How to control code_review

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "code_review": {}
  }
}

code_review is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register MCP DevTools Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about code_review

What does the code_review tool do? +

Perform automated code review analysis on Git changes. It is categorised as a Read tool in the MCP DevTools Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on code_review? +

Register the MCP DevTools Server 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 MCP DevTools Server. Nothing to install.

What risk level is code_review? +

code_review is a Read tool with low risk. Read-only tools are generally safe to allow by default.

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 MCP DevTools Server MCP server (rshade/mcp-devtools-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every MCP DevTools Server tool call.

Start from MCP DevTools Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →