AI agents call analyze_performance to retrieve information from Work Memory MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and analyzes performance metrics from a database to generate recommendations. It has no side effects on data or external systems. While it inspects system internals, it does not execute code, modify data, or trigger external operations. The highest severity it could pose is information disclosure about system performance characteristics, which is a low-severity read operation.
From the tool's definition Tool name 'analyze_performance' with description indicating it analyzes database performance and provides optimization recommendations.
Documented attack patterns abuse exactly the kind of access analyze_performance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Work Memory MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyze_performance:
{
"version": "1",
"default": "deny",
"tools": {
"analyze_performance": {}
}
}analyze_performance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
Free to start. No card required.
데이터베이스 성능을 분석하고 최적화 권장사항을 제공합니다. It is categorised as a Read tool in the Work Memory MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Work Memory MCP Server MCP server in PolicyLayer and add a rule for analyze_performance: 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 Work Memory MCP Server. Nothing to install.
analyze_performance 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 analyze_performance 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 analyze_performance. 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.
analyze_performance is provided by the Work Memory MCP Server MCP server (moontmsai/work-memory-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Work Memory MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
24 Work Memory MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.