execute_promql_query · Amazon Data Processing MCP Server MCP

WHAT IT DOES

What execute_promql_query does on Amazon Data Processing MCP Server

AI agents invoke execute_promql_query to trigger actions in Amazon Data Processing 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.

THE RISK

High Risk

Why execute_promql_query needs a policy

PrometheusQL query execution can trigger data retrieval, aggregations, and system operations on monitored infrastructure. While the empty description limits certainty, the execute verb and query language context classify this as Execute rather than Read, since PromQL can trigger rule evaluation, alerting, and complex backend operations.

From the tool's definition Tool name 'execute_promql_query' indicates execution of PrometheusQL queries against monitoring systems. The 'execute' verb combined with query execution capability on a data processing server suggests runtime code/command execution whose effects depend on…

Documented attack patterns abuse exactly the kind of access execute_promql_query gives an agent:

POLICY

How to control execute_promql_query

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Data Processing MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_promql_query:

policy.json

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

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.

Create a free account and register Amazon Data Processing MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

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EXPLORE

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Go deeper

Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in Amazon Data Processing MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

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 Amazon Data Processing 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 Amazon Data Processing 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 Amazon Data Processing 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 Amazon Data Processing MCP Server MCP server (awslabs.aws-dataprocessing-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Data Processing MCP Server tool call.

Start from Amazon Data Processing 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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