CreateContainerRegistryMap

WHAT IT DOES

What CreateContainerRegistryMap does on Amazon SageMaker AI MCP Server

AI agents use CreateContainerRegistryMap 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 CreateContainerRegistryMap needs a policy

The 'Create' prefix signals a Write operation that generates a new resource (a container registry map). This is reversible and does not execute arbitrary code or delete data. Severity is medium because container registry modifications could affect model deployment pipelines if misconfigured, but the impact is typically scoped to SageMaker resources rather than critical infrastructure.

From the tool's definition Tool name 'CreateContainerRegistryMap' indicates creation of a registry map resource. The description is empty, limiting direct confirmation. Context: SageMaker AI server typically handles model deployment and container management.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

CreateContainerRegistryMap Rate-limited

CreateContainerRegistryMap 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": {
    "CreateContainerRegistryMap": {
      "limits": [
        {
          "counter": "createcontainerregistrymap_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 CreateContainerRegistryMap

What does the CreateContainerRegistryMap tool do? +

CreateContainerRegistryMap. 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 CreateContainerRegistryMap? +

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

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

Can I rate-limit CreateContainerRegistryMap? +

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

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

CreateContainerRegistryMap 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.