Update ADK doc according to issue #1438 - 13

docs/deploy/agent-engine/deploy.md

@@ -130,17 +130,29 @@ managed Agent Engine service. This process can take several minutes.
 The following example deploy command uses the `multi_tool_agent` sample code as
 the project to be deployed:
 
+**Option 1: Deploy with Google Cloud Project (Standard)**
+
 ```shell
 PROJECT_ID=my-project-id
 LOCATION_ID=us-central1
+GCS_BUCKET=gs://MY-CLOUD-STORAGE-BUCKET
 
 adk deploy agent_engine \
         --project=$PROJECT_ID \
         --region=$LOCATION_ID \
+        --staging_bucket=$GCS_BUCKET \
         --display_name="My First Agent" \
         multi_tool_agent
 ```
 
+**Option 2: Deploy with API Key (Express Mode)**
+
+If you are using Express Mode, you can deploy using your API Key:
+
+```shell
+adk deploy agent_engine --api_key=YOUR_API_KEY my_agent
+```
+
 For `region`, you can find a list of the supported regions on the
 [Vertex AI Agent Builder locations page](https://docs.cloud.google.com/agent-builder/locations#supported-regions-agent-engine).
 To learn about the CLI options for the `adk deploy agent_engine` command, see the
@@ -208,4 +220,4 @@ For more information on testing and interacting with a deployed agent, see
 After completing deployment of your ADK agent you should test the workflow in
 its new hosted environment. For more information on testing an ADK agent
 deployed to Agent Engine, see
-[Test deployed agents in Agent Engine](/adk-docs/deploy/agent-engine/test/).
+[Test deployed agents in Agent Engine](/adk-docs/deploy/agent-engine/test/).