langchain-tools

To define custom tools in LangChain, you can create them from functions using the `tool()` decorator or `StructuredTool`. You must define the tool parameters and return types using Zod schemas to ensure robust validation and structured agent interaction.

Yes, you can use Zod schemas to validate complex parameter definitions for LangChain tools. This Skill supports handling complex parameter definitions and asynchronous operations, ensuring agents receive properly validated inputs when interacting with external APIs.

The best way to let a LangChain agent interact with external APIs is by defining well-defined tool interfaces. This Skill facilitates agent interaction with external data sources by allowing you to create custom tools that wrap API calls using Zod for schema validation.

Yes, LangChain supports leveraging pre-built tools for common tasks like searching and code execution. This Skill allows you to utilize these built-in tools alongside your custom defined tools to enable comprehensive agentic workflows.

You can create a LangChain tool to search a database and send an email by defining custom `search_database` and `send_email` tools. Use the `tool()` decorator with Zod schemas to define the required inputs, allowing the agent to invoke them sequentially.