schedule_start_application

THE RISK

High Risk

Why schedule_start_application needs a policy

The name strongly implies triggering or scheduling the start of an application or process, which is an execution action with potentially significant side effects. However, the description is empty, so confidence is reduced. Given the server context (AWS Managed Prometheus), this could relate to starting a monitoring application or workload.

From the tool's definition Tool name 'schedule_start_application' — no description provided.

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

POLICY

How to control schedule_start_application

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "schedule_start_application": {
      "limits": [
        {
          "counter": "schedule_start_application_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

schedule_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.

Create a free account and register Prometheus 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.

RATE-LIMIT THIS TOOL →

Free to start. No card required.

EXPLORE

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All 805 Prometheus MCP Server tools →

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Go deeper

High-risk tools in Prometheus MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Agent sandbox → Bounding what an agent can execute and where the boundary should sit.
Least privilege for MCP → Granting agents the minimum tool surface the task needs.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about schedule_start_application

What does the schedule_start_application tool do? +

schedule_start_application. It is categorised as a Execute tool in the Prometheus 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_start_application? +

Register the Prometheus MCP Server MCP server in PolicyLayer and add a rule for schedule_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 Prometheus MCP Server. Nothing to install.

What risk level is schedule_start_application? +

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

Can I rate-limit schedule_start_application? +

Yes. Add a rate_limit block to the schedule_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 schedule_start_application completely? +

Set action: deny in the PolicyLayer policy for schedule_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 schedule_start_application? +

schedule_start_application is provided by the Prometheus MCP Server MCP server (awslabs.prometheus-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 Prometheus MCP Server tool call.

Start from Prometheus 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 →