fixing list

Author: v-dirichards

articles/ai-services/agents/overview.md

@@ -57,9 +57,9 @@ Once you've gotten the basics, you can start using multiple agents together to a
 ## Why use Azure AI Agent Service?
 
 When compared to developing with the [Inference API](/azure/ai-studio/reference/reference-model-inference-api) directly, Azure AI Agent Service provides a more streamlined and secure way to build and deploy AI agents. This includes:
-1. **Automatic tool calling** – no need to parse a tool call, invoke the tool, and handle the response; all of this is now done server-side
-2. **Securely managed data** – instead of managing your own conversation state, you can rely on threads to store all the information you need
-3. **Out-of-the-box tools** – In addition to the file retrieval and code interpreter tools provided by Azure OpenAI Assistants, Azure AI Agent Service also comes with a set of tools that you can use to interact with your data sources, such as Bing, Azure AI Search, and Azure Functions.
+- **Automatic tool calling** – no need to parse a tool call, invoke the tool, and handle the response; all of this is now done server-side
+- **Securely managed data** – instead of managing your own conversation state, you can rely on threads to store all the information you need
+- **Out-of-the-box tools** – In addition to the file retrieval and code interpreter tools provided by Azure OpenAI Assistants, Azure AI Agent Service also comes with a set of tools that you can use to interact with your data sources, such as Bing, Azure AI Search, and Azure Functions.
 
 What originally took hundreds of lines of code can now be done in just a few with Azure AI Agent Service.