Update the Vertex Tool calling docs

Author: tzolov

spring-ai-docs/src/main/antora/modules/ROOT/nav.adoc

@@ -14,7 +14,6 @@
 *** xref:api/chat/deepseek-chat.adoc[DeepSeek AI]
 *** xref:api/chat/google-vertexai.adoc[Google VertexAI]
 **** xref:api/chat/vertexai-gemini-chat.adoc[VertexAI Gemini]
-***** xref:api/chat/functions/vertexai-gemini-chat-functions.adoc[Gemini Function Calling]
 *** xref:api/chat/groq-chat.adoc[Groq]
 *** xref:api/chat/huggingface.adoc[Hugging Face]
 *** xref:api/chat/mistralai-chat.adoc[Mistral AI]

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/bedrock-converse.adoc

@@ -115,7 +115,7 @@ String response = ChatClient.create(this.chatModel)
     .content();
 ----
 
-== Tool/Function Calling
+== Tool Calling
 
 The Bedrock Converse API supports tool calling capabilities, allowing models to use tools during conversations. 
 Here's an example of how to define and use @Tool based tools:

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/functions/vertexai-gemini-chat-functions.adoc

@@ -113,11 +113,49 @@ ChatResponse response = chatModel.call(
 TIP: In addition to the model specific `VertexAiGeminiChatOptions` you can use a portable https://github.com/spring-projects/spring-ai/blob/main/spring-ai-core/src/main/java/org/springframework/ai/chat/prompt/ChatOptions.java[ChatOptions] instance, created with the
 https://github.com/spring-projects/spring-ai/blob/main/spring-ai-core/src/main/java/org/springframework/ai/chat/prompt/ChatOptionsBuilder.java[ChatOptionsBuilder#builder()].
 
-== Function Calling
+== Tool Calling
+
+The Vertex AI  Gemini supports tool calling capabilities, allowing models to use tools during conversations. 
+Here's an example of how to define and use @Tool based tools:
+
+[source,java]
+----
+
+public class WeatherService {
+
+    @Tool(description = "Get the weather in location")
+    public String weatherByLocation(@ToolParam(description= "City or state name") String location) {
+        ...
+    }
+}
+
+String response = ChatClient.create(this.chatModel)
+        .prompt("What's the weather like in Boston?")				
+        .tools(new WeatherService())
+        .call()
+        .content();
+----
+
+You can use the java.util.function beans as tools as well:
+
+[source,java]
+----
+@Bean
+@Description("Get the weather in location. Return temperature in 36°F or 36°C format.")
+public Function<Request, Response> weatherFunction() {
+    return new MockWeatherService();
+}
+
+String response = ChatClient.create(this.chatModel)
+        .prompt("What's the weather like in Boston?")				
+        .tools("weatherFunction")
+        .inputType(Request.class)
+        .call()
+        .content();
+----
+
+Find more in xref:api/tools.adoc[Tools] documentation.
 
-You can register custom Java functions with the VertexAiGeminiChatModel and have the Gemini Pro model intelligently choose to output a JSON object containing arguments to call one or many of the registered functions.
-This is a powerful technique to connect the LLM capabilities with external tools and APIs.
-Read more about xref:api/chat/functions/vertexai-gemini-chat-functions.adoc[Vertex AI Gemini Function Calling].
 
 == Multimodal
 

spring-ai-docs/src/main/antora/modules/ROOT/pages/api/chat/vertexai-gemini-chat.adoc

@@ -5,16 +5,17 @@ WARNING: This page describes the previous version of the Function Calling API, w
 
 The integration of function support in AI models, permits the model to request the execution of client-side functions, thereby accessing necessary information or performing tasks dynamically as required.
 
-Spring AI currently supports function invocation for the following AI Models:
-
-* Anthropic Claude: Refer to the xref:api/chat/functions/anthropic-chat-functions.adoc[Anthropic Claude function invocation docs].
-* Azure OpenAI: Refer to the xref:api/chat/functions/azure-open-ai-chat-functions.adoc[Azure OpenAI function invocation docs].
-* Google VertexAI Gemini: Refer to the xref:api/chat/functions/vertexai-gemini-chat-functions.adoc[Vertex AI Gemini function invocation docs].
-* Groq: Refer to the xref:api/chat/groq-chat.adoc#_function_calling[Groq function invocation docs].
-* Mistral AI: Refer to the xref:api/chat/functions/mistralai-chat-functions.adoc[Mistral AI function invocation docs].
+Spring AI currently supports tool/function calling for the following AI Models:
+
+* Anthropic Claude: Refer to the xref:api/chat/functions/anthropic-chat-functions.adoc[Anthropic Claude tool/function calling].
+* Azure OpenAI: Refer to the xref:api/chat/functions/azure-open-ai-chat-functions.adoc[Azure OpenAI tool/function calling].
+* Amazon Bedrock Converse: Refer to the xref:api/chat/bedrock-converse.adoc#_tool_calling[Amazon Bedrock Converse tool/function calling].
+* Google VertexAI Gemini: Refer to the xref:api/chat/vertexai-gemini-chat.adoc#_tool_calling[Vertex AI Gemini tool/function calling].
+* Groq: Refer to the xref:api/chat/groq-chat.adoc#_function_calling[Groq tool/function calling].
+* Mistral AI: Refer to the xref:api/chat/functions/mistralai-chat-functions.adoc[Mistral AI tool/function calling].
 // * MiniMax : Refer to the xref:api/chat/functions/minimax-chat-functions.adoc[MiniMax function invocation docs].
-* Ollama: Refer to the xref:api/chat/functions/ollama-chat-functions.adoc[Ollama function invocation docs] (streaming not supported yet).
-* OpenAI: Refer to the xref:api/chat/functions/openai-chat-functions.adoc[OpenAI function invocation docs].
+* Ollama: Refer to the xref:api/chat/functions/ollama-chat-functions.adoc[Ollama tool/function calling]
+* OpenAI: Refer to the xref:api/chat/functions/openai-chat-functions.adoc[OpenAI tool/function calling].
 // * ZhiPu AI : Refer to the xref:api/chat/functions/zhipuai-chat-functions.adoc[ZhiPu AI function invocation docs].
 
 image::function-calling-basic-flow.jpg[Function calling, width=700, align="center"]