High Risk →

start_application

start_application

How to control start_application ↓

What start_application does on Amazon EKS MCP Server

AI agents invoke start_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.

High Risk

Why start_application needs a policy

Starting an application on EKS constitutes executing a command/operation whose effects depend on which application and configuration are specified as arguments. This is Execute rather than Write because it triggers runtime behavior rather than merely modifying configuration data. Severity is high because misuse could launch unintended workloads, consume resources, or trigger cascading effects in a Kubernetes cluster.

From the tool's definition Tool name 'start_application' indicates triggering an external operation (application startup) on EKS infrastructure. Description is empty, limiting specificity.

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

How to control start_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 start_application:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "start_application": {
      "limits": [
        {
          "counter": "start_application_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

start_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.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about start_application

What does the start_application tool do? +

start_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 start_application? +

Register the Amazon EKS MCP Server MCP server in PolicyLayer and add a rule for start_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 start_application? +

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

Can I rate-limit start_application? +

Yes. Add a rate_limit block to the start_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 start_application completely? +

Set action: deny in the PolicyLayer policy for start_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 start_application? +

start_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.

Free to start. No card required.

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

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