Tool

Annotation to mark a method as a tool that can be invoked by AI agents.

Methods annotated with @Tool are automatically registered with the toolkit and made available to agents for execution. The toolkit uses reflection to discover tool methods and generate appropriate JSON schemas for LLM consumption.

Usage Example:

`public class WeatherTools {
@Tool(name = "get_weather", description = "Get current weather for a city")
public String getWeather(
@ToolParam(name = "city", description = "City name") String city,
@ToolParam(name = "unit", description = "Temperature unit") String unit) {
// Implementation
return "Weather data...";
}
}
`

Requirements:

• All parameters must be annotated with ToolParam (except ToolEmitter)

• Return type must be String, Mono<String>, or other reactive types

• Tool names should follow snake_case convention for LLM compatibility

• Descriptions should clearly explain what the tool does and when to use it