AI agents invoke liara_stop_app to trigger actions in Liara 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.
This tool executes a command that changes the operational state of infrastructure (stopping/scaling down an application). While not destructive (the app data persists and can be restarted), it is an Execute action because it triggers an external operation whose effects depend on which app is targeted. The blast radius is high: stopping a production app causes service disruption and outages.
From the tool's definition Tool name is 'liara_stop_app' with description 'Stop an app (scale down)' — directly triggers a control plane operation to halt a running application instance.
Documented attack patterns abuse exactly the kind of access liara_stop_app gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Liara MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for liara_stop_app:
{
"version": "1",
"default": "deny",
"tools": {
"liara_stop_app": {
"limits": [
{
"counter": "liara_stop_app_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}liara_stop_app 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.
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Stop an app (scale down). It is categorised as a Execute tool in the Liara MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Liara MCP Server MCP server in PolicyLayer and add a rule for liara_stop_app: 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 Liara MCP Server. Nothing to install.
liara_stop_app is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the liara_stop_app 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.
Set action: deny in the PolicyLayer policy for liara_stop_app. 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.
liara_stop_app is provided by the Liara MCP Server MCP server (razavioo/liara-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Liara 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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108 Liara MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.