Tool Use

Tool use refers to the broader capability of AI systems to interact with external resources to extend their functionality beyond pure text generation. While closely related to function calling, tool use encompasses a wider range of interactions including web browsing, code execution, file manipulation, database queries, API calls, and physical device control. Tool use transforms AI from a knowledge system into an action system.

Modern AI platforms define tools through schemas that describe what each tool does, what inputs it expects, and what outputs it returns. The AI model uses these descriptions to decide which tool to invoke and how to format the request. Effective tool use requires the model to understand the capabilities and limitations of each tool, choose the right tool for the task, and interpret the results correctly. This often involves multi-step reasoning where the model uses output from one tool as input to another.

Tool use is what enables AI agents to operate autonomously in the real world. An agent with access to a web browser can research information online. An agent with file system access can read and write documents. An agent with API access can interact with business systems. The key challenge in tool use is security and safety, as giving AI the ability to take actions means careful consideration of permissions, guardrails, and human oversight to prevent unintended consequences.