AI agents invoke launch_app to trigger actions in Openowl. 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 permits executing arbitrary applications on the user's system. While seemingly benign, an AI agent with control over app launching could initiate malware, steal credentials, access sensitive data, or trigger unintended system behavior. The blast radius is significant because application choice and timing are argument-dependent, and launched apps run with the user's privileges.
From the tool's definition Tool enables launching applications on the desktop, which executes external programs. The server description states it gives 'hands on your desktop' with 'clicking, typing' capabilities for workflow automation.
Documented attack patterns abuse exactly the kind of access launch_app gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Openowl, and nothing reaches the server without passing your rules. This is the rule we recommend for launch_app:
{
"version": "1",
"default": "deny",
"tools": {
"launch_app": {
"limits": [
{
"counter": "launch_app_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}launch_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.
Free to start. No card required.
Launch an application. It is categorised as a Execute tool in the Openowl MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Openowl MCP server in PolicyLayer and add a rule for launch_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 Openowl. Nothing to install.
launch_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 launch_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 launch_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.
launch_app is provided by the Openowl MCP server (mihir-kanzariya/openowl). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Openowl, 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.
40 Openowl tools catalogued and risk-classified — across an index of 43,000+ MCP servers.