gateway_update · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What gateway_update does on Amazon SageMaker AI MCP Server

AI agents use gateway_update 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_update needs a policy

The tool name indicates a Write operation (update/modify action). Without a description, confidence is moderate. However, given this is on a SageMaker server and 'gateway' often refers to critical infrastructure components, a misconfiguration could have significant blast radius.

From the tool's definition Tool name 'gateway_update' suggests modification of a gateway resource. In AWS/SageMaker context, gateways typically control network access, API routing, or model endpoints. 'Update' operations modify configuration reversibly.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

gateway_update Rate-limited

gateway_update 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_update": {
      "limits": [
        {
          "counter": "gateway_update_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_update

What does the gateway_update tool do? +

gateway_update. 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_update? +

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

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

Can I rate-limit gateway_update? +

Yes. Add a rate_limit block to the gateway_update 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_update completely? +

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

gateway_update 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.