Trigger a QAction by its object name.
AI agents invoke trigger_action to trigger actions in Qt Pilot. 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 code/commands (QActions) whose side effects are determined by the argument (object name). While not destructive by itself, it has Execute semantics: it triggers application logic that could modify state, launch dialogs, perform calculations, or interact with external systems.
From the tool's definition Tool 'trigger_action' performs "trigger a QAction by its object name" - this executes application-defined actions whose effects depend on which action is triggered.
Documented attack patterns abuse exactly the kind of access trigger_action gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Qt Pilot, and nothing reaches the server without passing your rules. This is the rule we recommend for trigger_action:
{
"version": "1",
"default": "deny",
"tools": {
"trigger_action": {
"limits": [
{
"counter": "trigger_action_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}trigger_action 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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Trigger a QAction by its object name. It is categorised as a Execute tool in the Qt Pilot MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Qt Pilot MCP server in PolicyLayer and add a rule for trigger_action: 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 Qt Pilot. Nothing to install.
trigger_action 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 trigger_action 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 trigger_action. 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.
trigger_action is provided by the Qt Pilot MCP server (neatobandit0/qt-pilot). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Qt Pilot, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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15 Qt Pilot tools catalogued and risk-classified — across an index of 43,000+ MCP servers.