CreateDbInstance · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What CreateDbInstance does on Amazon SageMaker AI MCP Server

AI agents use CreateDbInstance 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 CreateDbInstance needs a policy

This tool creates a new database instance, which is a reversible write operation. It provisions infrastructure and creates a new resource but does not delete data or execute arbitrary code. While infrastructure creation can have cost implications in AWS, the primary action is resource creation (Write) rather than financial commitment.

From the tool's definition Tool name is 'CreateDbInstance' and description states 'Create a new Timestream for InfluxDB database instance'. The verb 'Create' and action of provisioning a new database instance indicate data structure creation.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

CreateDbInstance Rate-limited

CreateDbInstance 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": {
    "CreateDbInstance": {
      "limits": [
        {
          "counter": "createdbinstance_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 CreateDbInstance

What does the CreateDbInstance tool do? +

Create a new Timestream for InfluxDB database instance. 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 CreateDbInstance? +

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

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

Can I rate-limit CreateDbInstance? +

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

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

CreateDbInstance 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.