remove last section from 11-prompts

Author: adam-cowley

asciidoc/courses/genai-mcp-build-custom-tools-python/modules/2-database-features/lessons/11-prompts/lesson.adoc

@@ -187,24 +187,7 @@ Prompts are ideal for common workflows and complex requests. In our movie server
 While tools are functions that execute code when the LLM needs them, prompts are pre-written templates that users explicitly select. They work together - a prompt might guide the user to ask questions that lead the LLM to call specific tools. For example, a movie recommendation prompt could guide the conversation that leads to calling the `search_movies_by_genre()` tool.
 
 
-== Adding Prompts to Your Server
-
-Prompts are simple to add - just use the decorator:
-
-[source,python]
-----
-@mcp.prompt()
-def movie_discovery(genre: str = "any") -> str:
-    """Discover new movies in a genre."""
-    
-    if genre == "any":
-        return """Help me discover new movies! What genres do I enjoy?
-What recent movies have I loved? Do I prefer classics or new releases?"""
-    
-    return f"""Recommend 5 diverse {genre} movies that span different
-styles and eras. Explain why each is a great example of the genre."""
-----
-
+read::Mark as Completed[]
 
 [.summary]
 == Summary
@@ -221,6 +204,5 @@ In this lesson, you learned about MCP prompts:
 Prompts make your server more user-friendly by providing pre-written templates for common tasks.
 
 
-read::Mark as Completed[]
 
 In the next module, you'll learn how to integrate MCP tools into your development workflows.