Medium Risk

modify-serverless-cache

modify-serverless-cache

How to control modify-serverless-cache ↓

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

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

The 'modify' verb strongly suggests creation or modification of data/resources (Write category). In AWS Redshift context, modifying a serverless cache would alter configuration state reversibly. Without a description, confidence is moderate rather than high. Severity is medium because misconfiguration could disrupt data access or performance, but is typically reversible through additional modifications.

From the tool's definition Tool name 'modify-serverless-cache' indicates mutation of cache configuration; no description provided to confirm scope.

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

How to control modify-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 modify-serverless-cache:

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

modify-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 modify-serverless-cache

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

modify-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 modify-serverless-cache? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for modify-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 modify-serverless-cache? +

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

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

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

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

modify-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.

Free to start. No card required.

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

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