gateway_target_create · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What gateway_target_create does on Amazon SageMaker AI MCP Server

AI agents use gateway_target_create 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 gateway_target_create needs a policy

The 'create' verb suggests this tool writes/creates a new resource within AWS infrastructure. Without an explicit description, confidence is moderate. The tool appears to create a gateway target (likely a network or service endpoint), which is reversible via deletion or modification, placing it in Write rather than Execute or Destructive.

From the tool's definition Tool name 'gateway_target_create' indicates creation of a gateway target resource. In AWS SageMaker and networking contexts, creating gateway targets typically results in new resource instantiation that can be modified or deleted later.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

gateway_target_create Rate-limited

gateway_target_create 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": {
    "gateway_target_create": {
      "limits": [
        {
          "counter": "gateway_target_create_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 gateway_target_create

What does the gateway_target_create tool do? +

gateway_target_create. 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 gateway_target_create? +

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

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

Can I rate-limit gateway_target_create? +

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

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

gateway_target_create 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.