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schedule_stop_application

schedule_stop_application

How to control schedule_stop_application ↓

What schedule_stop_application does on Amazon EKS MCP Server

AI agents invoke schedule_stop_application to trigger actions in Amazon EKS MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

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Why schedule_stop_application needs a policy

The name suggests this tool schedules the stopping of an application (likely a Kubernetes workload/deployment in EKS). Stopping an application is an operational action with significant impact (service disruption), placing it in the Execute category. Severity is high because misuse could cause application downtime. Confidence is reduced due to empty description.

From the tool's definition Tool name 'schedule_stop_application' — implies scheduling a stop action on an application running in EKS

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

How to control schedule_stop_application

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon EKS 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": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

schedule_stop_application stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Amazon EKS 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.
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Related tools and policies

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Questions about schedule_stop_application

What does the schedule_stop_application tool do? +

schedule_stop_application. It is categorised as a Execute tool in the Amazon EKS MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on schedule_stop_application? +

Register the Amazon EKS 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 EKS MCP Server. Nothing to install.

What risk level is schedule_stop_application? +

schedule_stop_application is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

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 EKS MCP Server MCP server (awslabs.eks-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 EKS MCP Server tool call.

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

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