create-serverless-cache · Amazon SageMaker AI MCP Server MCP

WHAT IT DOES

What create-serverless-cache does on Amazon SageMaker AI MCP Server

AI agents use create-serverless-cache 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-serverless-cache needs a policy

The tool creates a new cloud resource, which is a reversible Write operation. It does not execute arbitrary code, delete data, or move money. Severity is medium because misconfigured caching infrastructure could affect application performance or inadvertently expose cached data, but the operation is not inherently destructive.

From the tool's definition Tool name 'create-serverless-cache' indicates creation of a new cloud resource (AWS ElastiCache serverless cache).

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

create-serverless-cache Rate-limited

create-serverless-cache 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-serverless-cache": {
      "limits": [
        {
          "counter": "create-serverless-cache_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-serverless-cache

What does the create-serverless-cache tool do? +

create-serverless-cache. 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-serverless-cache? +

Register the Amazon SageMaker AI MCP Server MCP server in PolicyLayer and add a rule for create-serverless-cache: 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-serverless-cache? +

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

Can I rate-limit create-serverless-cache? +

Yes. Add a rate_limit block to the create-serverless-cache 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-serverless-cache completely? +

Set action: deny in the PolicyLayer policy for create-serverless-cache. 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-serverless-cache? +

create-serverless-cache 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.