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AI Agent Tool Use: How Function Calling Makes Agents Actually Useful (2026)
How-ToMachine Learning

AI Agent Tool Use: How Function Calling Makes Agents Actually Useful (2026)

via Dev.to TutorialPax5h ago

AI Agent Tool Use: How Function Calling Makes Agents Actually Useful (2026) — Paxrel - [Paxrel](/) [Home](/) [Blog](/blog.html) [Newsletter](/newsletter.html) [Blog](/blog.html) › AI Agent Tool Use March 26, 2026 · 12 min read # AI Agent Tool Use: How Function Calling Makes Agents Actually Useful (2026) Without tools, an LLM is just a very eloquent parrot. It can generate text, but it can't check the weather, send an email, query a database, or do anything in the real world. Tool use (also called function calling) is what transforms a language model into an agent. Photo by Daniil Komov on Pexels This guide covers how tool use works under the hood, how to design great tool schemas, handle errors gracefully, orchestrate multi-tool workflows, and keep everything secure. ## How Tool Use Works The concept is simple: you tell the LLM what tools are available, and it decides when to use them. The LLM doesn't actually execute anything — it outputs a structured request that your code executes.

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