cache_quit

THE RISK

Low Risk

Why cache_quit needs a policy

This tool closes a network connection to a cache server. It does not read, write, execute code, delete data, or involve financial transactions. It is a connection lifecycle management operation — terminating a session — which is administrative/housekeeping in nature. Misuse could disrupt caching operations but causes no data loss or irreversible change.

From the tool's definition Close the connection to the cache server.

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

POLICY

How to control cache_quit

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Bedrock AgentCore MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cache_quit:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "cache_quit": {
      "limits": [
        {
          "counter": "cache_quit_rate",
          "window": "minute",
          "max": 60,
          "scope": "grant"
        }
      ]
    }
  }
}

cache_quit gets a rate cap, and everything else on the server is denied unless you say otherwise.

Create a free account and register AWS Bedrock AgentCore MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

SET A RULE FOR THIS TOOL →

Free to start. No card required.

EXPLORE

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All 805 AWS Bedrock AgentCore MCP Server tools →

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Tool risk categories → How PolicyLayer classifies MCP tools by what they can do.
MCP tool → What an MCP tool is and how clients discover and call it.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about cache_quit

What does the cache_quit tool do? +

Close the connection to the cache server. It is categorised as a Other tool in the AWS Bedrock AgentCore MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on cache_quit? +

Register the AWS Bedrock AgentCore MCP Server MCP server in PolicyLayer and add a rule for cache_quit: 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 AWS Bedrock AgentCore MCP Server. Nothing to install.

What risk level is cache_quit? +

cache_quit is a Other tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit cache_quit? +

Yes. Add a rate_limit block to the cache_quit 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_quit completely? +

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

cache_quit is provided by the AWS Bedrock AgentCore MCP Server MCP server (awslabs.amazon-bedrock-agentcore-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 AWS Bedrock AgentCore MCP Server tool call.

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

CHECK YOUR STACK →