create_cluster · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What create_cluster does on Amazon SageMaker AI MCP Server

AI agents use create_cluster to create or update resources in Amazon SageMaker AI MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon SageMaker AI MCP Server environment.

WHY IT NEEDS A POLICY

Why create_cluster needs a policy

This tool creates a new Aurora MySQL cluster, which is a reversible Write operation—the cluster can subsequently be deleted or modified. While it has operational impact (spins up compute/storage resources), it is not Destructive (irreversible deletion), Execute (arbitrary code execution), or Financial (direct money movement).

From the tool's definition Tool name 'create_cluster' and description 'Create an Aurora MySQL cluster' indicate creation of a new database resource. The verb 'Create' explicitly denotes a Write operation that adds new infrastructure.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_cluster Rate-limited

create_cluster stays usable, but capped — an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "create_cluster": {
      "limits": [
        {
          "counter": "create_cluster_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

LIMIT 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 create_cluster

What does the create_cluster tool do? +

Create an Aurora MySQL cluster. It is categorised as a Write tool in the Amazon SageMaker AI MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on create_cluster? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for create_cluster: 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 create_cluster? +

create_cluster is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit create_cluster? +

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

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

create_cluster 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.