List widgets matching a name pattern.
AI agents call find_widgets 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 retrieves information about widgets in a GUI application based on name patterns. It queries the application state without modifying, deleting, or executing any operations. The blast radius is minimal—the worst outcome of misuse is exposure of widget names or structure, which does not alter the application state or have external consequences. This is a straightforward Read operation.
From the tool's definition Tool name 'find_widgets' and description 'List widgets matching a name pattern' indicate a query/search operation with no side effects. The verb 'list' and the function of pattern matching are characteristic of read operations.
Documented attack patterns abuse exactly the kind of access find_widgets 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 find_widgets:
{
"version": "1",
"default": "deny",
"tools": {
"find_widgets": {}
}
} find_widgets is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List widgets matching a name pattern. 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 find_widgets: 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.
find_widgets 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 find_widgets 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 find_widgets. 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.
find_widgets 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.