Provides architecture recommendations for a problem with optional constraints.
AI agents call review_architecture to retrieve information from Code Review without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool analyzes input and returns architectural recommendations/suggestions. It reads/evaluates a problem description and provides output advice without modifying any data, executing code, or causing side effects. It is purely advisory in nature.
From the tool's definition Provides architecture recommendations for a problem with optional constraints
Attacks that exploit this kind of access
Provides architecture recommendations for a problem with optional constraints. It is categorised as a Read tool in the Code Review MCP Server, which means it retrieves data without modifying state.
Register the Code Review MCP server in PolicyLayer and add a rule for review_architecture: 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 Code Review. Nothing to install.
review_architecture is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the review_architecture 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.
Set action: deny in the PolicyLayer policy for review_architecture. 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.
review_architecture is provided by the Code Review MCP server (troshenkov/code-review-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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