Get detailed information about a specific widget.
AI agents call get_widget_info to retrieve information from Qt Pilot without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and retrieves information about GUI widgets without modifying, executing operations, or causing any state changes. It is a pure read operation similar to 'get' or 'fetch' operations. Severity is low because exposing widget metadata carries minimal risk—an AI misuse would only result in learning GUI structure, not changing application behavior or data.
From the tool's definition Tool name 'get_widget_info' and description 'Get detailed information about a specific widget' indicate data retrieval with no modification or side effects. The context of Qt/PySide6 GUI testing confirms this retrieves widget properties and state.
Documented attack patterns abuse exactly the kind of access get_widget_info 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 get_widget_info:
{
"version": "1",
"default": "deny",
"tools": {
"get_widget_info": {}
}
}get_widget_info is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get detailed information about a specific widget. It is categorised as a Read tool in the Qt Pilot MCP Server, which means it retrieves data without modifying state.
Register the Qt Pilot MCP server in PolicyLayer and add a rule for get_widget_info: 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.
get_widget_info is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_widget_info 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 get_widget_info. 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.
get_widget_info 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.