create_function · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What create_function does on Amazon SageMaker AI MCP Server

AI agents use create_function 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_function needs a policy

The 'create_function' tool performs a write operation (creates a serverless function or Lambda-like resource in AWS SageMaker). This is reversible via deletion, so it's Write rather than Destructive. However, severity is high because creating compute resources in AWS can incur costs and trigger automated pipelines.

From the tool's definition Tool name 'create_function' paired with 'create' verb indicates reversible data creation; no explicit mention of deletion or financial operations. Description is empty, limiting evidence specificity.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_function Rate-limited

create_function 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_function": {
      "limits": [
        {
          "counter": "create_function_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_function

What does the create_function tool do? +

create_function. 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_function? +

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

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

Can I rate-limit create_function? +

Yes. Add a rate_limit block to the create_function 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_function completely? +

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

create_function 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.