manage_aws_emr_serverless_applications

WHAT IT DOES

What manage_aws_emr_serverless_applications does on Amazon SageMaker AI MCP Server

AI agents call manage_aws_emr_serverless_applications as a supporting operation in Amazon SageMaker AI MCP Server workflows.

WHY IT NEEDS A POLICY

Why manage_aws_emr_serverless_applications needs a policy

The description is empty, so the classification is based solely on the name. 'Manage' is ambiguous and could span Read, Write, Execute, or Destructive operations. EMR Serverless applications management could involve creating, updating, starting, stopping, or deleting applications.

From the tool's definition Tool name is 'manage_aws_emr_serverless_applications'; description is empty and uninformative.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

manage_aws_emr_serverless_applications Rate-limited

manage_aws_emr_serverless_applications gets a rate cap, and everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_aws_emr_serverless_applications": {
      "limits": [
        {
          "counter": "manage_aws_emr_serverless_applications_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

SET A RULE FOR THIS TOOL →

Instant setup, no code required.

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

FAQ

Questions about manage_aws_emr_serverless_applications

What does the manage_aws_emr_serverless_applications tool do? +

manage_aws_emr_serverless_applications. It is categorised as a Other tool in the Amazon SageMaker AI MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on manage_aws_emr_serverless_applications? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for manage_aws_emr_serverless_applications: 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 SageMaker AI MCP Server. Nothing to install.

What risk level is manage_aws_emr_serverless_applications? +

manage_aws_emr_serverless_applications is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit manage_aws_emr_serverless_applications? +

Yes. Add a rate_limit block to the manage_aws_emr_serverless_applications 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_applications completely? +

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

manage_aws_emr_serverless_applications is provided by the Amazon SageMaker AI MCP Server MCP server (awslabs.sagemaker-ai-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.