Replace Device Workbench with Azure IoT Tools extension package

Author: liydu

articles/iot-pnp/iot-plug-and-play-glossary.md

@@ -41,9 +41,9 @@ Azure IoT Central is a fully managed software-as-a-service solution that makes i
 
 The Azure IoT certification service runs a set of certification tests when you submit an [IoT Plug and Play device](#iot-plug-and-play-device) for certification through the [Azure Certified for IoT portal](#azure-certified-for-iot-portal). Before you can add a device to the [Certified for IoT device catalog](#certified-for-iot-device-catalog), the device must be certified.
 
-## Azure IoT Device Workbench extension
+## Azure IoT Tools extension
 
-Azure IoT Device Workbench is a [Visual Studio code](#visual-studio-code) extension that provides an integrated environment to:
+Azure IoT Tools is a a collection of extensions in [Visual Studio code](#visual-studio-code) that help you interact with IoT Hub and develop IoT devices. For develop IoT Plug and Play device, it provides:
 
 - Author [device capability models](#device-capability-model) and [interfaces](#interface).
 - Publish to [model repositories](#model-repository).
@@ -195,4 +195,4 @@ Telemetry fields defined in an [interface](#interface) represent measurements. T
 
 ## Visual Studio code
 
-Visual Studio code is a modern code editor available for multiple platforms. Extensions, such as the [Azure IoT Device Workbench extension](#azure-iot-device-workbench-extension) enable you to customize it to support a wide range of development scenarios.
+Visual Studio code is a modern code editor available for multiple platforms. Extensions, such as the [Azure IoT Tools](https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.azure-iot-tools) enable you to customize it to support a wide range of development scenarios.

articles/iot-pnp/overview-iot-plug-and-play.md

@@ -60,7 +60,7 @@ As a device developer, you can develop an IoT hardware product that supports IoT
 
 1. Author the device software or firmware that implements the capabilities declared in the device capability model and interfaces. The Azure IoT SDK includes APIs to implement device capability models.
 
-The [IoT Device Workbench for VS Code](https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.vscode-iot-workbench) extension provides many features to assist you. For example, as a device developer you can use the extension to generate a skeleton C project from a capability model. However you can use any IDE to author and implement device capability models.
+The [Azure IoT Tools for VS Code](https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.azure-iot-tools) provides many features to assist you. For example, as a device developer you can use the extension to generate a skeleton C project from a capability model. However you can use any IDE to author and implement device capability models.
 
 ## Certify an IoT Plug and Play device
 

articles/iot-pnp/quickstart-create-pnp-device.md

@@ -25,12 +25,12 @@ To complete this quickstart, you need to install the following software on your
 * [CMake](https://cmake.org/download/).
 * [Visual Studio Code](https://code.visualstudio.com/).
 
-### Install Azure IoT Device Workbench
+### Install Azure IoT Tools
 
-Use the following steps to install the Azure IoT Device Workbench extension in VS Code:
+Use the following steps to install the [Azure IoT Tools for VS Code](https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.azure-iot-tools):
 
 1. In VS Code, select the **Extensions** tab.
-1. Search for **Azure IoT Device Workbench**.
+1. Search for **Azure IoT Tools**.
 1. Select **Install**.
 
 ### Install the Azure IoT explorer

articles/iot-pnp/tutorial-build-device-certification.md

@@ -28,7 +28,7 @@ The certification tests check that:
 To complete this tutorial, you need:
 
 - [Visual Studio Code](https://code.visualstudio.com/download)
-- [Azure IoT Workbench extension for VS Code](https://github.com/Azure/Azure-IoT-PnP-Preview/blob/master/VSCode/README.md#installation)
+- [Azure IoT Tools for VS Code](https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.azure-iot-tools)
 
 You also need the IoT Plug and Play device that you create in the [Quickstart: Use a device capability model to create a device](quickstart-create-pnp-device.md).
 

articles/iot-pnp/tutorial-pnp-visual-studio-code.md

@@ -32,10 +32,10 @@ In this tutorial, you learn how to:
 To work with the device capability model in this tutorial, you need:
 
 * [Visual Studio Code](https://code.visualstudio.com/download): VS Code is available for multiple platforms
-* Azure IoT Device Workbench extension in VS Code. Use the following steps to install the Azure IoT Device Workbench extension in VS Code:
+* [Azure IoT Tools for VS Code](https://marketplace.visualstudio.com/items?itemName=vsciot-vscode.azure-iot-tools). Use the following steps to install it in VS Code:
 
     1. In VS Code, select the **Extensions** tab.
-    1. Search for **Azure IoT Device Workbench**.
+    1. Search for **Azure IoT Tools**.
     1. Select **Install**.
 
 To build the generated C code on Windows in this tutorial, you need:
@@ -58,7 +58,7 @@ To test your device code in this tutorial, you need:
 
 ## Model your device
 
-You use the _digital twin definition language_ to create a device capability model. A model typically consists of multiple _interface_ definition files and a single model file. The **Azure IoT Device Workbench extension for VS Code** includes tools to help you create and edit these JSON files.
+You use the _digital twin definition language_ to create a device capability model. A model typically consists of multiple _interface_ definition files and a single model file. The **Azure IoT Tools for VS Code** includes tools to help you create and edit these JSON files.
 
 ### Create the interface file
 
@@ -295,7 +295,7 @@ Your files are now stored in your company repository.
 
 ## Generate code
 
-You can use the **Azure IoT Device Workbench extension for VS Code** to generate skeleton C code from your model. To generate the skeleton code in VS Code:
+You can use the **Azure IoT Tools for VS Code** to generate skeleton C code from your model. To generate the skeleton code in VS Code:
 
 1. Use **Ctrl+Shift+P** to open the command palette.