Analyzes the performance characteristics of a CQL query - args: keyspace, query
AI agents call analyzeQueryPerformance to retrieve information from AWS HealthOmics MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool reads and analyzes existing query performance data to provide insights. It does not create, modify, delete data, or execute arbitrary code. It is a diagnostic/observational tool typical of database performance monitoring, which falls under the Read category. Severity is low because misuse would only provide performance information without causing harm to data or systems.
From the tool's definition Tool performs analysis of query performance characteristics with arguments 'keyspace' and 'query'. The verb 'analyzes' and the focus on 'performance characteristics' indicate data inspection without modification.
Documented attack patterns abuse exactly the kind of access analyzeQueryPerformance gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and AWS HealthOmics MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for analyzeQueryPerformance:
{
"version": "1",
"default": "deny",
"tools": {
"analyzeQueryPerformance": {}
}
}analyzeQueryPerformance is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyzes the performance characteristics of a CQL query - args: keyspace, query. It is categorised as a Read tool in the AWS HealthOmics MCP Server MCP Server, which means it retrieves data without modifying state.
Register the AWS HealthOmics MCP Server MCP server in PolicyLayer and add a rule for analyzeQueryPerformance: 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 HealthOmics MCP Server. Nothing to install.
analyzeQueryPerformance 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 analyzeQueryPerformance 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 analyzeQueryPerformance. 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.
analyzeQueryPerformance is provided by the AWS HealthOmics MCP Server MCP server (awslabs.aws-healthomics-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from AWS HealthOmics 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 HealthOmics MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.