# JSON format for Tools

## Introduction

This documentation outlines the JSON structures supported by SkyDeck AI for two distinct types of tools: LLM Tools and Smart Tools. The purpose of this page is to provide a brief introduction to these tool categories and their respective JSON structures. Detailed information and examples for each tool type can be found in the corresponding sub-pages.

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#### LLM Tools

LLM (Large Language Model) Tools are designed to facilitate user interaction with LLM models by sending user input to predefined prompts.

{% content-ref url="/pages/muqz7UJ36EGmOjpf37Ba" %}
[JSON Format for LLM Tools](/developers/develop-your-own-tools/json-format-for-llm-tools.md)
{% endcontent-ref %}

#### Smart Tools

Smart Tools extend the capabilities of LLM Tools by incorporating Python code execution for data extraction and processing. The integration of Python enables users to perform complex calculations, data transformations, and other advanced operations beyond the scope of standard LLM Tools functionality.

{% content-ref url="/pages/Wj18bPfWnYHyvQv1QOli" %}
[JSON Format for Smart Tools](/developers/develop-your-own-tools/json-format-for-smart-tools.md)
{% endcontent-ref %}


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.skydeck.ai/developers/develop-your-own-tools/json-format-for-tools.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.