AI agents call validate_code_quality to retrieve information from Hi-AI without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Even though validate_code_quality only reads data, uncontrolled read access leaks sensitive information and racks up API costs — an agent caught in a retry loop can make thousands of calls a minute without anyone noticing.
Attacks that exploit this kind of access
품질|리뷰|검사|quality|review code|check quality|validate|코드 리뷰 - Validate code quality. It is categorised as a Read tool in the Hi-AI MCP Server, which means it retrieves data without modifying state.
Register the Hi-AI MCP server in PolicyLayer and add a rule for validate_code_quality: 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 Hi-AI. Nothing to install.
validate_code_quality 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 validate_code_quality 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 validate_code_quality. 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.
validate_code_quality is provided by the Hi-AI MCP server (su-record/hi-ai). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.