Get real-time performance metrics and alerts for Lambda functions
AI agents call monitor_real_time_performance to retrieve information from Lambda Performance 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 queries real-time performance data from AWS Lambda functions. It performs monitoring and observation only, with no side effects, data modification, or resource execution capabilities. The tool gathers metrics and generates alerts based on existing data, consistent with Read category classification.
From the tool's definition Tool description states 'Get real-time performance metrics and alerts for Lambda functions' - a retrieval operation with no capability to modify, delete, or execute AWS resources.
Attacks that exploit this kind of access
Get real-time performance metrics and alerts for Lambda functions. It is categorised as a Read tool in the Lambda Performance MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Lambda Performance MCP Server MCP server in PolicyLayer and add a rule for monitor_real_time_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 Lambda Performance MCP Server. Nothing to install.
monitor_real_time_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 monitor_real_time_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 monitor_real_time_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.
monitor_real_time_performance is provided by the Lambda Performance MCP Server MCP server (jghidalgo/lambda-performance-mcp-nodejs). 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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