Get performance optimization recommendations for Lambda functions
AI agents call get_optimization_recommendations 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 presents optimization suggestions based on Lambda performance analysis. It has no side effects—it does not execute changes, modify Lambda configuration, delete resources, or move money. The sibling tools show a clear pattern of analysis and monitoring (analyze_*, monitor_*, track_*, list_*, get_*) without deployment capabilities.
From the tool's definition Tool name 'get_optimization_recommendations' and description 'Get performance optimization recommendations' indicate data retrieval only.
Attacks that exploit this kind of access
Get performance optimization recommendations 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 get_optimization_recommendations: 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.
get_optimization_recommendations 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 get_optimization_recommendations 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 get_optimization_recommendations. 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.
get_optimization_recommendations 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.
Teams ship this data inside their own products. See what a licence covers →