stop_app_monitoring

Stop application monitoring.

SERVERAos SOURCE@hybridlabor-api/aos

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/hybridlabor-api-aos/stop-app-monitoring.md

WHAT IT DOES

What stop_app_monitoring does on Aos

AI agents invoke stop_app_monitoring to trigger actions in Aos. 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.

RISK

Why stop_app_monitoring is rated High

Halts active monitoring operations with potential downstream effects on system observability and error tracking.

From the tool's definition Stop application monitoring

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs stop_app_monitoring safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Aos, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For stop_app_monitoring, this is the rule to start with:

stop_app_monitoring Rate-limited

stop_app_monitoring 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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Aos, apply this rule, and every stop_app_monitoring call is checked against it from then on.

FAQ

Questions about stop_app_monitoring

What does the stop_app_monitoring tool do? +

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

How do I enforce a policy on stop_app_monitoring? +

Register the Aos MCP server in PolicyLayer and add a rule for stop_app_monitoring: 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 Aos. Nothing to install.

What risk level is stop_app_monitoring? +

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

Can I rate-limit stop_app_monitoring? +

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

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

stop_app_monitoring is provided by the Aos MCP server (@hybridlabor-api/aos). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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