create_api_key · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What create_api_key does on Amazon SageMaker AI MCP Server

AI agents use create_api_key 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_api_key needs a policy

Creating API keys generates new credentials that can be used to authenticate subsequent requests and access AWS resources. This is a reversible write operation (keys can be deleted/rotated) rather than destructive, but carries high severity due to potential for credential compromise and unauthorized access if misused by an AI agent.

From the tool's definition Tool name 'create_api_key' indicates creation of authentication credentials. Empty description limits certainty but the action of creating API keys is a write operation that generates new, persistent credentials.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create_api_key Rate-limited

create_api_key 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_api_key": {
      "limits": [
        {
          "counter": "create_api_key_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_api_key

What does the create_api_key tool do? +

create_api_key. 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_api_key? +

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

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

Can I rate-limit create_api_key? +

Yes. Add a rate_limit block to the create_api_key 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_api_key completely? +

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

create_api_key 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.