create_resource · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What create_resource does on Amazon SageMaker AI MCP Server

AI agents use create_resource 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_resource needs a policy

The name 'create_resource' indicates a Write operation that creates new resources in AWS SageMaker. Without a description, it cannot be confirmed if the operation is fully reversible or what resources are created, but resource creation is inherently a Write action. Confidence is moderate (0.7) due to missing documentation.

From the tool's definition Tool name is 'create_resource' which indicates resource creation capability. Description is empty, limiting certainty about scope and reversibility.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_resource Rate-limited

create_resource 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_resource": {
      "limits": [
        {
          "counter": "create_resource_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_resource

What does the create_resource tool do? +

create_resource. 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_resource? +

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

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

Can I rate-limit create_resource? +

Yes. Add a rate_limit block to the create_resource 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_resource completely? +

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

create_resource 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.