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Dictionary

Tool Use

An LLM invoking external functions to act beyond text generation.

1 min readupdated 2026-07-04

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Tool use is the pattern where a model returns a structured call (name + arguments) that the runtime executes, then feeds the result back into the conversation for the next step. An LLM invoking external functions to act beyond text generation.

An LLM invoking external functions to act beyond text generation. Tool use is the pattern where a model returns a structured call (name + arguments) that the runtime executes, then feeds the result back into the conversation for the next step. In practice: A model returns { tool: 'search_web', args: { q: 'Notion pricing 2026' } }; the runtime runs the search and returns hits to the model.
Definition
Tool use is the pattern where a model returns a structured call (name + arguments) that the runtime executes, then feeds the result back into the conversation for the next step.
Example
A model returns { tool: 'search_web', args: { q: 'Notion pricing 2026' } }; the runtime runs the search and returns hits to the model.
Related Workflows
Related Tool Stacks

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What is Tool Use?

Tool use is the pattern where a model returns a structured call (name + arguments) that the runtime executes, then feeds the result back into the conversation for the next step.

What is an example of Tool Use?

A model returns { tool: 'search_web', args: { q: 'Notion pricing 2026' } }; the runtime runs the search and returns hits to the model.

Why does Tool Use matter?

An LLM invoking external functions to act beyond text generation.

What should I learn after Tool Use?

Open the related workflows and prompts further down this page: they show how this idea is applied in a real task, step by step.

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Related concepts

The vocabulary this page depends on.

  • →AI Browser Definition

    An AI browser is a specialized web browser augmented with artificial intelligence capabilities to automate tasks, extract information, and interact with web content intelligently. It streamlines complex online activities by leveraging AI for navigation, data collection, and interaction.

  • →Agentic Browsing Explained

    Agentic browsing refers to an AI agent's ability to autonomously navigate, interpret, and interact with web content to achieve a defined goal, mimicking human browsing behavior. It enables AI systems to operate effectively in dynamic web environments.

  • →MCP (Model Context Protocol)

    Open protocol that lets LLMs connect to tools, data sources and apps through a standard interface.

  • →Agentic RAG

    RAG where an agent decides what to retrieve, when, and from which source — instead of a single static query.

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Related workflows

Turn this into a repeatable process.

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Related tool stacks

The tools that run it in production.

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Related prompts

Reusable prompts for this job.

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Comparisons & alternatives

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