Analyzes the performance characteristics of a CQL query - args: keyspace, query
AI agents call analyzeQueryPerformance to retrieve information from Prometheus MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool analyzes query performance characteristics (a read-only analytical operation) on a CQL query provided as an argument. It retrieves or examines performance metrics without creating, modifying, deleting, or executing any data-altering operations. No side effects are indicated. This is a typical Read category operation similar to query inspection or performance profiling.
From the tool's definition Tool name 'analyzeQueryPerformance' and description 'Analyzes the performance characteristics of a CQL query' indicate this performs analysis and inspection of existing queries without modifying data or executing operations.
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 Prometheus 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 Prometheus MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Prometheus 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 Prometheus 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 Prometheus MCP Server MCP server (awslabs.prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Prometheus 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.
805 Prometheus MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.