AI agents call AnalyzeAHORunPerformance to retrieve information from AWS Lambda Tool MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool name suggests analysis of performance metrics from AHO (AWS Health Omics) runs, which is a non-destructive, data-retrieval operation. Without a description, confidence is moderated, but the verb 'Analyze' and context among sibling tools (which include queries and analyses) support a Read classification. Low severity due to information-disclosure limitations absent side effects or modifications.
From the tool's definition Tool name 'AnalyzeAHORunPerformance' indicates analysis/inspection of existing run performance data. The tool description is empty, limiting direct evidence, but 'Analyze' typically denotes read-only examination.
Documented attack patterns abuse exactly the kind of access AnalyzeAHORunPerformance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Lambda Tool MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for AnalyzeAHORunPerformance:
{
"version": "1",
"default": "deny",
"tools": {
"AnalyzeAHORunPerformance": {}
}
}AnalyzeAHORunPerformance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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AnalyzeAHORunPerformance. It is categorised as a Read tool in the AWS Lambda Tool MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AWS Lambda Tool MCP Server MCP server in PolicyLayer and add a rule for AnalyzeAHORunPerformance: 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 AWS Lambda Tool MCP Server. Nothing to install.
AnalyzeAHORunPerformance 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 AnalyzeAHORunPerformance 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 AnalyzeAHORunPerformance. 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.
AnalyzeAHORunPerformance is provided by the AWS Lambda Tool MCP Server MCP server (awslabs.lambda-tool-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS Lambda Tool MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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805 AWS Lambda Tool MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.