changed tool file format

Author: ms-johnalex

articles/ai-foundry/how-to/develop/get-started-projects-vs-code.md

@@ -30,7 +30,7 @@ With Azure AI Foundry, you can:
 
 With the Azure AI Foundry for Visual Studio Code extension, you can accomplish much of this workflow directly from Visual Studio Code. It also comes with other features, such as code templates, playgrounds, and integration with other VS Code extensions and features. 
 
-This article shoes you how to quickly get started using the features of the Azure AI Foundry for Visual Studio Code extension. 
+This article shows you how to quickly get started using the features of the Azure AI Foundry for Visual Studio Code extension. 
 
 [!INCLUDE [feature-preview](../../includes/feature-preview.md)]
 
@@ -298,14 +298,6 @@ You can also open the model playground using the following steps:
 
 The Azure resources that you created in this article are billed to your Azure subscription. If you don't expect to need these resources in the future, delete them to avoid incurring more charges.
 
-### Delete your agents
-
-1. In the VS Code navbar, refresh the **Azure AI Foundry Extension**. In the **Resources** section, expand the **Agents** subsection to display the list of deployed agents.
-
-1. Right-click on your deployed agent to delete and select the **Delete** option.
-
-:::image type="content" source="../../media/how-to/get-started-projects-vs-code/delete-agent.png" alt-text="Screenshot of the AI Foundry portal with 'Agents' from the navigation menu on the left and the **Delete** button highlighted." lightbox="../../media/how-to/get-started-projects-vs-code/delete-agent.png":::
-
 ### Delete your models
 
 1. In the VS Code navbar, refresh the **Azure AI Foundry Extension**. In the **Resources** section, expand the **Models** subsection to display the list of deployed models.

articles/ai-foundry/how-to/develop/vs-code-agents.md

@@ -99,31 +99,42 @@ tools: []
 
 ### Add tools to the Azure AI Agent
 
-Azure AI Agent Service has a set of knowledge and action tools that you can use to interact with your data sources, such as:
- - [Grounding with Bing search](/azure/ai-services/agents/how-to/tools/bing-grounding?tabs=python&pivots=overview)
- - [Azure AI Search](/azure/ai-services/agents/how-to/tools/file-search?tabs=python&pivots=overview) 
- - [Azure Functions](/azure/ai-services/agents/how-to/tools/file-search?tabs=python&pivots=overview) 
- - [File retrieval](/azure/ai-services/agents/how-to/tools/azure-functions?tabs=python&pivots=overview) 
+Azure AI Agent Service has a set of knowledge and action tools that you can use to interact with your data sources. 
+
+
+#### Available tools for Azure AI Agents
+
+The following tools are available:
+
+- Knowledge tools:
+  - [Grounding with Bing search](/azure/ai-services/agents/how-to/tools/bing-grounding?tabs=python&pivots=overview)
+  - [File search]( /azure/ai-services/agents/how-to/tools/file-search?tabs=python&pivots=overview)
+  - [Azure AI Search](/azure/ai-services/agents/how-to/tools/azure-ai-search?tabs=azurecli%2Cpython&pivots=overview-azure-ai-search)   
+  - [Microsoft Fabric](/azure/ai-services/agents/how-to/tools/fabric?tabs=csharp&pivots=overview)
+  - [Use licensed data](/azure/ai-services/agents/how-to/tools/licensed-data) 
+
+- Action tools:
+ - [Azure AI Agents function calling](/azure/ai-services/agents/how-to/tools/function-calling?tabs=python&pivots=overview)
  - [Code interpreter](/azure/ai-services/agents/how-to/tools/code-interpreter?tabs=python&pivots=overview)
  - [OpenAPI Specified tools](/azure/ai-services/agents/how-to/tools/openapi-spec?tabs=python&pivots=overview)
+ - [Azure Functions](/azure/ai-services/agents/how-to/tools/azure-functions?tabs=python&pivots=overview)
 
 #### Configure the tools YAML file
 
 The Agent Designer adds tools to an AI Agent via .yaml files. 
 
 Create a tool configuration .yaml file using the following steps:
 
-1. Perform any setup steps that might be required. See the article for the tool you’re interested in using. For example, [Grounding with Bing search](/azure/ai-services/agents/how-to/tools/bing-grounding?tabs=python&pivots=overview#setup).
+1. Choose a tool from the [available tools for Azure AI Agents](#available-tools-for-azure-ai-agents). Perform any setup steps that might be required. For example, [Grounding with Bing search](/azure/ai-services/agents/how-to/tools/bing-grounding?tabs=python&pivots=overview#setup).
 
 1. Once you complete the setup, create a yaml code file that specifies the tool’s configuration. For example, this format for Grounding with Bing Search:
 
     ```yml
-    type: bing_grounding
-    name: bing_search
-    configuration:
-      tool_connections:
-        - >-
-          /subscriptions/<Azure Subscription ID>/resourceGroups/<Azure Resource Group name>/providers/Microsoft.MachineLearningServices/workspaces/<Azure AI Foundry Project name>/connections/<Bing connection name>
+type: bing_grounding
+options:
+  tool_connections:
+    - >-
+      /subscriptions/<Azure Subscription ID>/resourceGroups/<Azure Resource Group name>/providers/Microsoft.MachineLearningServices/workspaces/<Azure AI Foundry Project name>/connections/<Bing connection name>
     ```
 1. Replace the placeholders in the connection string under the `tool_connections` section with your information: