golem-annotate-agent-ts

To add metadata annotations to TypeScript agents for AI discovery, you decorate agent classes with @description() to define the overall purpose and methods with @prompt() and @description() to specify actions within the agent code.

The purpose of using @description and @prompt decorators in TypeScript agent classes is to embed descriptive metadata directly into the code, enabling better AI and LLM tool discovery and documentation.

You need to annotate TypeScript agent methods with descriptive metadata when preparing a TypeScript-based agent for LLM tool discovery, ensuring AI systems can understand the agent's purpose and specific functionalities.

Yes, you can use this annotation approach to improve agent discoverability by AI systems, as it provides clear descriptions and prompts that facilitate LLM integration and tool discovery.

The best way to document TypeScript agent functionalities for LLM integration is to apply @description() decorators to agent classes and @prompt() decorators to methods, embedding clear metadata for AI systems.