Updated acrolynx change

Author: ms-johnalex

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

@@ -336,7 +336,7 @@ After you choose your save location, the Designer view will open to edit your AI
     > The model deployment name must be the exact name you chose for the model you deployed in your Azure AI Foundry project. In the following image, `gpt-4o-1` is the model deployment name you chose at deployment. `gpt-4o` is the model name. 
     >  :::image type="content" source="../../media/how-to/get-started-projects-vs-code/deployment-model-name.png" alt-text="Screenshot of the highlighted deployment model names, an arrow between them, and the model name highlighted in a different color." lightbox="../../media/how-to/get-started-projects-vs-code/deployment-model-name.png":::
 
-    1. Configure the following fields. The **ID** will be generated by the extension:
+    1. Configure the following fields. The **ID** is generated by the extension:
 
        - Add a description for your agent
        - Set system instructions 
@@ -386,7 +386,7 @@ 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. 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:
+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