manage_aws_emr_serverless_job_runs

THE RISK

High Risk

Why manage_aws_emr_serverless_job_runs needs a policy

The tool name suggests it manages EMR Serverless job runs, which likely includes triggering execution of distributed compute jobs on AWS. 'Manage' can span start/stop/cancel operations, making Execute the most appropriate category. However, the description is empty, which lowers confidence. Severity is high because misuse could trigger large-scale compute jobs with significant cost and resource implications.

From the tool's definition Tool name: 'manage_aws_emr_serverless_job_runs' — implies managing (starting, stopping, or controlling) AWS EMR Serverless job runs.

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

POLICY

How to control manage_aws_emr_serverless_job_runs

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs amazon-qindex MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for manage_aws_emr_serverless_job_runs:

policy.json

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

manage_aws_emr_serverless_job_runs 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 AWS Labs amazon-qindex 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 →

Free to start. No card required.

EXPLORE

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FAQ

Questions about manage_aws_emr_serverless_job_runs

What does the manage_aws_emr_serverless_job_runs tool do? +

manage_aws_emr_serverless_job_runs. It is categorised as a Execute tool in the AWS Labs amazon-qindex 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 manage_aws_emr_serverless_job_runs? +

Register the AWS Labs amazon-qindex MCP Server MCP server in PolicyLayer and add a rule for manage_aws_emr_serverless_job_runs: 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 Labs amazon-qindex MCP Server. Nothing to install.

What risk level is manage_aws_emr_serverless_job_runs? +

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

Can I rate-limit manage_aws_emr_serverless_job_runs? +

Yes. Add a rate_limit block to the manage_aws_emr_serverless_job_runs 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 manage_aws_emr_serverless_job_runs completely? +

Set action: deny in the PolicyLayer policy for manage_aws_emr_serverless_job_runs. 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 manage_aws_emr_serverless_job_runs? +

manage_aws_emr_serverless_job_runs is provided by the AWS Labs amazon-qindex MCP Server MCP server (awslabs.amazon-qindex-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 AWS Labs amazon-qindex MCP Server tool call.

Start from AWS Labs amazon-qindex MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →