提供代码重构建议，改善代码结构和可读性
AI agents call suggest_refactoring to retrieve information from Smart Code Reviewer without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool analyzes code and provides recommendations but does not execute changes, create new files, delete data, run arbitrary code, or affect systems. It is purely advisory/analytical in nature, making it a Read category tool with low severity risk.
From the tool's definition Tool name 'suggest_refactoring' and description state it 'provides code refactoring suggestions to improve code structure and readability.' The verb 'suggest' and the nature of refactoring advice are informational outputs without modifying the actual codebase.
Attacks that exploit this kind of access
提供代码重构建议，改善代码结构和可读性. It is categorised as a Read tool in the Smart Code Reviewer MCP Server, which means it retrieves data without modifying state.
Register the Smart Code Reviewer MCP server in PolicyLayer and add a rule for suggest_refactoring: 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 Smart Code Reviewer. Nothing to install.
suggest_refactoring 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 suggest_refactoring 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 suggest_refactoring. 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.
suggest_refactoring is provided by the Smart Code Reviewer MCP server (renjismzy/mcp-code). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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