review_change

AI-powered review of a file change — identify issues, risks, and suggestions

SERVERTrace SOURCEnikolai-vysotskyi/trace-mcp

Low RISK CLASS

Category Read

Parameters 00 required

Recommended Allowedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/nikolai-vysotskyi-trace-mcp/review-change.md

WHAT IT DOES

What review_change does on Trace

AI agents call review_change to retrieve information from Trace without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.

RISK

Why review_change is rated Low

This tool retrieves and analyzes information about a code change to provide feedback. It has no side effects—it does not execute code, modify files, delete data, or trigger external operations. The output is advisory analysis. While it is part of a code intelligence system with other tools that may perform writes/executions, this specific tool's function is purely analytical (Read category).

From the tool's definition The tool description states it performs an 'AI-powered review' that will 'identify issues, risks, and suggestions' on a file change.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs review_change safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Trace, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For review_change, this is the rule to start with:

review_change Allowed

review_change is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

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

ALLOW ONLY THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Trace, apply this rule, and every review_change call is checked against it from then on.

FAQ

Questions about review_change

What does the review_change tool do? +

AI-powered review of a file change — identify issues, risks, and suggestions. It is categorised as a Read tool in the Trace MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on review_change? +

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

What risk level is review_change? +

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

Can I rate-limit review_change? +

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

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

review_change is provided by the Trace MCP server (nikolai-vysotskyi/trace-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

KEEP EXPLORING

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