Medium Risk

create-serverless-cache

create-serverless-cache

How to control create-serverless-cache ↓

What create-serverless-cache does on Amazon Redshift MCP Server

AI agents use create-serverless-cache to create or update resources in Amazon Redshift MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Amazon Redshift MCP Server environment.

Medium Risk

Why create-serverless-cache needs a policy

Creating a serverless cache resource in AWS modifies infrastructure state by provisioning a new managed service instance. This is a Write operation (reversible via deletion) rather than Read (no new resources created) or Destructive (the resource can be deleted). Severity is high because an agent creating multiple or large cache instances could incur significant AWS costs and consume account quotas.

From the tool's definition Tool name 'create-serverless-cache' indicates creation of a cloud resource. The verb 'create' paired with an AWS service (serverless cache, likely Amazon ElastiCache) clearly establishes resource provisioning behavior.

Documented attack patterns abuse exactly the kind of access create-serverless-cache gives an agent:

How to control create-serverless-cache

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Redshift MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for create-serverless-cache:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "create-serverless-cache": {
      "limits": [
        {
          "counter": "create-serverless-cache_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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.

  1. Create a free account and register Amazon Redshift MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
LIMIT THIS TOOL →

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Related tools and policies

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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 Redshift 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 Redshift 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 Redshift 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 Redshift MCP Server MCP server (awslabs.redshift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Redshift MCP Server tool call.

Start from Amazon Redshift MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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805 Amazon Redshift MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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