execute_range_query · Prometheus MCP Server MCP

WHAT IT DOES

What execute_range_query does on Prometheus MCP Server

AI agents invoke execute_range_query to trigger actions in Prometheus MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

WHY IT NEEDS A POLICY

Why execute_range_query needs a policy

The tool executes arbitrary PromQL queries with parameters that control execution scope and behavior. While not destructive (PromQL is read-only and cannot modify data), execution of complex queries across metrics can be resource-intensive and may cause system performance degradation.

From the tool's definition Tool executes PromQL queries via 'Execute a PromQL range query' description. PromQL is a query language that can perform arbitrary computations on Prometheus time-series data, and 'execute' indicates runtime query evaluation with user-supplied parameters…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_range_query Rate-limited

execute_range_query stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "execute_range_query": {
      "limits": [
        {
          "counter": "execute_range_query_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches Prometheus MCP Server, so you can run agents against it safely.

FAQ

Questions about execute_range_query

What does the execute_range_query tool do? +

Execute a PromQL range query with start time, end time, and step interval. It is categorised as a Execute tool in the Prometheus MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on execute_range_query? +

Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for execute_range_query: 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.

What risk level is execute_range_query? +

execute_range_query is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit execute_range_query? +

Yes. Add a rate_limit block to the execute_range_query 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.

How do I block execute_range_query completely? +

Set action: deny in the PolicyLayer policy for execute_range_query. 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.

What MCP server provides execute_range_query? +

execute_range_query is provided by the Prometheus MCP Server MCP server (jayanth-kulkarni-avesha/prometheus-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.