execute_promql_query · AWS Serverless MCP Server MCP

WHAT IT DOES

What execute_promql_query does on AWS Serverless MCP Server

AI agents invoke execute_promql_query to trigger actions in AWS Serverless 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_promql_query needs a policy

Any tool that executes queries—especially in the context of AWS Serverless monitoring—runs arbitrary code/expressions against a system whose effects depend on the query arguments. This is Execute category rather than Read because the query execution can trigger monitoring system side effects, and the query language itself may support destructive operations depending on the metrics backend.

From the tool's definition Tool name 'execute_promql_query' contains 'execute' verb and involves querying (likely Prometheus or similar metrics system).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

execute_promql_query Rate-limited

execute_promql_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_promql_query": {
      "limits": [
        {
          "counter": "execute_promql_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 AWS Serverless MCP Server, so you can run agents against it safely.

FAQ

Questions about execute_promql_query

What does the execute_promql_query tool do? +

execute_promql_query. It is categorised as a Execute tool in the AWS Serverless 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_promql_query? +

Register the AWS Serverless MCP Server MCP server in PolicyLayer and add a rule for execute_promql_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 AWS Serverless MCP Server. Nothing to install.

What risk level is execute_promql_query? +

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

Can I rate-limit execute_promql_query? +

Yes. Add a rate_limit block to the execute_promql_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_promql_query completely? +

Set action: deny in the PolicyLayer policy for execute_promql_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_promql_query? +

execute_promql_query is provided by the AWS Serverless MCP Server MCP server (awslabs.aws-serverless-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.