schedule_stop_application

WHAT IT DOES

What schedule_stop_application does on Amazon Location Service MCP Server

AI agents invoke schedule_stop_application to trigger actions in Amazon Location Service 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.

THE RISK

High Risk

Why schedule_stop_application needs a policy

The tool name suggests it schedules a stop operation for an application, which would be an Execute-class action (triggering an external operation). Stopping an application can have significant impact. However, the description is empty and the tool appears on an Amazon Location Service MCP server, which makes the name seem out of place — this reduces confidence.

From the tool's definition Tool name: 'schedule_stop_application' — implies scheduling an action to stop an application

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 Location Service 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.

Create a free account and register Amazon Location Service 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 →

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EXPLORE

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Go deeper

Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in Amazon Location Service 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 →
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 Execute tool in the Amazon Location Service 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 Location Service 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 Location Service 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 Location Service MCP Server MCP server (awslabs.aws-location-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 Location Service MCP Server tool call.

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