This article explains the fundamental concept of tools within the context of large language models, specifically focusing on Claude Code. Tools are presented as a mechanism to bridge the gap between an LLM's text-generation capabilities and the need for real-world actions or structured, reliable output. The explanation details how tool definitions, structured using JSON Schema in the Anthropic API, provide a name, description, and input schema to guide the LLM's behavior and ensure valid arguments for execution. AI
IMPACT Explains how LLMs interact with external systems through structured tools, enabling actions beyond text generation.
RANK_REASON Article explains a specific feature (tools) of an existing AI product (Claude Code).
Read on dev.to — Claude Code tag →
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