schedule_stop_application

THE RISK

Low Risk

Why schedule_stop_application needs a policy

The description is empty, so we cannot confirm what this tool does. The name suggests it schedules a stop of an application, which could be Execute or even Destructive depending on what 'stop' entails. However, on a Bedrock Knowledge Base Retrieval server, this tool seems out of place. Without a description, confidence is very low.

From the tool's definition Tool name is 'schedule_stop_application'; description is empty and uninformative.

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

POLICY

How to control schedule_stop_application

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Bedrock Knowledge Base Retrieval MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for schedule_stop_application:

policy.json

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

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

Create a free account and register Amazon Bedrock Knowledge Base Retrieval 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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Go deeper

Roll out MCP under one policy → Per-person scoped tokens, one central policy, and full audit across every server your team connects.
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 →
PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about schedule_stop_application

What does the schedule_stop_application tool do? +

schedule_stop_application. It is categorised as a Other tool in the Amazon Bedrock Knowledge Base Retrieval MCP Server MCP Server, which means it performs auxiliary operations.

How do I enforce a policy on schedule_stop_application? +

Register the Amazon Bedrock Knowledge Base Retrieval MCP Server MCP server in PolicyLayer and add a rule for schedule_stop_application: 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 Bedrock Knowledge Base Retrieval MCP Server. Nothing to install.

What risk level is schedule_stop_application? +

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

Can I rate-limit schedule_stop_application? +

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

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

schedule_stop_application is provided by the Amazon Bedrock Knowledge Base Retrieval MCP Server MCP server (awslabs.bedrock-kb-retrieval-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 Bedrock Knowledge Base Retrieval MCP Server tool call.

Start from Amazon Bedrock Knowledge Base Retrieval 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 →