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Update ADK doc according to issue #1048 - 8 #1058

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10 changes: 9 additions & 1 deletion docs/tools-custom/function-tools.md
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Expand Up @@ -223,6 +223,14 @@ While you have considerable flexibility in defining your function, remember that
* **Build for Parallel Execution:** Improve function calling performance when multiple tools are run by building for asynchronous operation. For information on enabling parallel execution for tools, see
[Increase tool performance with parallel execution](/adk-docs/tools-custom/performance/).

## Simplified Tool Declaration with JSON Schema (Experimental)

ADK now offers a simplified way to declare function tools by generating a JSON schema from your function's signature using Pydantic. This feature can be enabled via a feature flag.

When enabled, `build_function_declaration` will automatically generate a JSON schema for your function's parameters, which simplifies the declaration process and provides more accurate type information to the LLM.

This feature is currently experimental and can be enabled by setting the `ADK_ENABLE_JSON_SCHEMA_FOR_FUNC_DECL` environment variable to `true`.

## Long Running Function Tools {#long-run-tool}

This tool is designed to help you start and manage tasks that are handled outside the operation of your agent workflow, and require a significant amount of processing time, without blocking the agent's execution. This tool is a subclass of `FunctionTool`.
Expand Down Expand Up @@ -481,4 +489,4 @@ The `AgentTool` class provides the following attributes for customizing its beha
3. Behind the scenes, the `main_agent` will call the `summary_agent` with the long text as input.
4. The `summary_agent` will process the text according to its instruction and generate a summary.
5. **The response from the `summary_agent` is then passed back to the `main_agent`.**
6. The `main_agent` can then take the summary and formulate its final response to the user (e.g., "Here's a summary of the text: ...")
6. The `main_agent` can then take the summary and formulate its final response to the user (e.g., "Here's a summary of the text: ...")
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