LlamaIndex's LlamaHub Tools are designed to enhance Large Language Model (LLM) Agents, like ChatGPT, by enabling them to interact with APIs to perform tasks such as email drafting, Google Calendar management, and Wikipedia searches. The blog post discusses the process of developing these tools, emphasizing the simplicity of creating Python functions that Agents can utilize, demonstrated by a Wolfram Alpha integration example. Key techniques for building effective tools include crafting concise and informative prompts, making tools tolerant of incomplete inputs, and implementing error handling to guide Agents in correcting mistakes. The text also highlights the importance of providing deterministic functions for time-sensitive tasks, utilizing mutation prompts to inform Agents of task completion, and accommodating large data responses within context window limitations. By allowing Agents to understand their available tools and arguments, developers can fine-tune tool effectiveness and anticipate user interactions, promoting the creation and sharing of functional tools on platforms like LlamaHub.