Medium Risk

cache_replace

Replace a value in the cache only if the key exists.

How to control cache_replace ↓

What cache_replace does on Amazon Redshift MCP Server

AI agents use cache_replace 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 cache_replace needs a policy

This tool modifies cached data reversibly. It does not delete data (not Destructive), does not execute arbitrary code (not Execute), and does not involve financial transactions (not Financial). The 'only if exists' constraint limits blast radius compared to an unrestricted write, keeping severity at medium rather than high. Confidence is high because the description clearly indicates data modification.

From the tool's definition The tool description states "Replace a value in the cache" which is a modification operation. The conditional "only if the key exists" indicates it's a safe write that won't create new entries, but it still modifies existing data.

Documented attack patterns abuse exactly the kind of access cache_replace gives an agent:

How to control cache_replace

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 cache_replace:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "cache_replace": {
      "limits": [
        {
          "counter": "cache_replace_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

cache_replace 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

Go deeper

Questions about cache_replace

What does the cache_replace tool do? +

Replace a value in the cache only if the key exists. 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 cache_replace? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for cache_replace: 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 cache_replace? +

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

Can I rate-limit cache_replace? +

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

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

cache_replace 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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