Click a widget by its object name.
AI agents invoke click_widget 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.
Clicking a widget executes an action in the target application. The outcome depends entirely on what the widget does — it could submit forms, trigger file operations, open dialogs, or invoke arbitrary application logic. This makes it Execute-category with medium severity, as misuse could trigger unintended application behavior, but the blast radius is bounded by the application under test.
From the tool's definition Click a widget by its object name — performs a simulated user interaction (click) on a GUI widget, triggering application-side event handlers whose effects depend on which widget is clicked.
Documented attack patterns abuse exactly the kind of access click_widget 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 click_widget:
{
"version": "1",
"default": "deny",
"tools": {
"click_widget": {
"limits": [
{
"counter": "click_widget_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}click_widget 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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Click a widget 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 click_widget: 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.
click_widget 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 click_widget 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 click_widget. 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.
click_widget 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.