docs: Update README.md (#3)

* docs: Update README.md

* Update README.md

Author: averikitsch

README.md

@@ -1,11 +1,11 @@
 # Gemini CLI Extension - Cloud SQL for SQL Server
 
-This Gemini CLI extension provides a set of tools to interact with [Cloud SQL for SQL Server](https://cloud.google.com/sql/docs/sqlserver) instances. It allows you to manage your databases, execute queries, and explore schemas directly from the [Gemini CLI](https://google-gemini.github.io/gemini-cli/), using natural language prompts.
+This Gemini CLI extension provides a set of tools to interact with [Cloud SQL for SQL Server](https://cloud.google.com/sql/docs/sqlserver) instances. It allows you to manage your databases, execute queries, explore schemas, and troubleshoot issues directly from the [Gemini CLI](https://google-gemini.github.io/gemini-cli/), using natural language prompts.
 
 ## Why Use the Cloud SQL for SQL Server Extension?
 
-* **Natural Language Management:** Stop wrestling with complex commands. Explore schemas and query data by describing what you want in plain English.
 * **Seamless Workflow:** As a Google-developed extension, it integrates seamlessly into the Gemini CLI environment. No need to constantly switch contexts for common database tasks.
+* **Natural Language Management:** Stop wrestling with complex commands. Explore schemas and query data by describing what you want in plain English.
 * **Code Generation:** Accelerate development by asking Gemini to generate data classes and other code snippets based on your table schemas.
 
 ## Prerequisites
@@ -37,9 +37,12 @@ Set the following environment variables before starting the Gemini CLI:
 * `CLOUD_SQL_MSSQL_USER`: The database username.
 * `CLOUD_SQL_MSSQL_PASSWORD`: The password for the database user.
 
+> [!NOTE]
+> When using private IPs with Cloud SQL for SQL Server, you must use a Virtual Private Cloud (VPC) network.
+
 ## Usage Examples
 
-Interact with Cloud SQL for SQL Server using natural language right from your IDE:
+Interact with Cloud SQL for SQL Server using natural language:
 
 * **Explore Schemas and Data:**
   * "Show me all tables in the 'orders' database."