review updates

Author: buzahid

learn-pr/wwl-data-ai/connect-agent-to-mcp-tools/2-understand-mcp-tool-discovery.yml

@@ -2,7 +2,7 @@
 uid: learn.wwl.connect-agent-to-mcp-tools.understand-mcp-tool-discovery
 title: Understand MCP tool discovery
 metadata:
-  title: Understand MCP tool discovery
+  title: Understand MCP Tool Discovery
   description: "Learn how Model Context Protocol (MCP) servers host functions that can be discovered by LLMs."
   ms.date: 06/13/2025
   author: buzahid

learn-pr/wwl-data-ai/connect-agent-to-mcp-tools/3-mcp-client-server-setup.yml

@@ -2,7 +2,7 @@
 uid: learn.wwl.connect-agent-to-mcp-tools.mcp-client-server-setup
 title: Integrate agent tools using an MCP server and client
 metadata:
-  title: Integrate agent tools using an MCP server and client
+  title: Integrate Agent Tools Using an MCP Server and Client
   description: "Learn how to expose Model Context Protocol (MCP) tools through a server and register them to an Azure AI Agent."
   ms.date: 06/13/2025
   author: buzahid

learn-pr/wwl-data-ai/connect-agent-to-mcp-tools/4-exercise.yml

@@ -2,7 +2,7 @@
 uid: learn.wwl.connect-agent-to-mcp-tools.exercise
 title: Exercise - Connect MCP tools to Azure AI Agents
 metadata:
-  title: Exercise - Connect MCP tools to Azure AI Agents
+  title: Exercise - Connect MCP Tools to Azure AI Agents
   description: "Build a Model Context Protocol (MCP) client-server application that dynamically registers tools to an Azure AI Agent."
   ms.date: 06/13/2025
   author: buzahid

learn-pr/wwl-data-ai/connect-agent-to-mcp-tools/5-knowledge-check.yml

@@ -2,7 +2,7 @@
 uid: learn.wwl.connect-agent-to-mcp-tools.knowledge-check
 title: Module assessment
 metadata:
-  title: Module assessment
+  title: Module Assessment
   description: "Check your learning on connecting Model Context Protocol (MCP) tools to Azure AI Agents."
   ms.date: 06/13/2025
   author: buzahid

learn-pr/wwl-data-ai/connect-agent-to-mcp-tools/includes/1-introduction.md

@@ -2,6 +2,6 @@ AI agents are capable of performing a wide range of tasks, but many tasks still
 
 Model Context Protocol (MCP) servers can help solve this problem by integrating with AI agents. Connecting an Azure AI Agent to a Model Context Protocol (MCP) server can provide your agent with a catalog of tools accessible on demand. This approach makes your AI solution more robust, scalable, and easier to maintain.
 
-Suppose you're working for a retailer that specializes in comsmetics. Your team wants to build an AI assistant that can help manage inventory by checking product stock levels and recent sales trends. Using an MCP server, you can connect the assistant to a set of tools that can make inventory assessments and provide recommendations to the team.
+Suppose you're working for a retailer that specializes in cosmetics. Your team wants to build an AI assistant that can help manage inventory by checking product stock levels and recent sales trends. Using an MCP server, you can connect the assistant to a set of tools that can make inventory assessments and provide recommendations to the team.
 
 In this module, you learn how to set up an MCP server and client, and connect tools to an Azure AI Agent dynamically. You also practice creating your own AI MCP tool solution with Azure AI Foundry Agent Service.