Fix tool result handling and add missing get_follow_up_instructions

- Fixed AttributeError: tools return list[TextContent], not ToolOutput
- Added get_follow_up_instructions() function required by SimpleTool base
- Removed unused ToolOutput import
- Server now correctly handles list return type from tool.execute()

Resolves Claude Desktop errors:
- 'list' object has no attribute 'is_error'
- cannot import name 'get_follow_up_instructions'

server.py

@@ -45,7 +45,6 @@ from config import DEFAULT_MODEL, __version__
 from tools.chat import ChatTool
 from tools.contentvariant import ContentVariantTool
 from tools.listmodels import ListModelsTool
-from tools.models import ToolOutput
 from tools.version import VersionTool
 
 # Configure logging
@@ -111,6 +110,20 @@ except Exception as e:
 
 logger = logging.getLogger(__name__)
 
+
+def get_follow_up_instructions(step_number: int = 0) -> str:
+    """
+    Get follow-up instructions for conversation continuation.
+
+    Args:
+        step_number: Current step number in workflow (0 for simple tools)
+
+    Returns:
+        String with instructions for continuing the conversation
+    """
+    return ""  # Return empty string for now - tools handle their own continuation logic
+
+
 # Create MCP server instance
 server: Server = Server("zen-marketing")
 
@@ -296,14 +309,16 @@ async def handle_call_tool(name: str, arguments: dict) -> list[TextContent]:
 
     try:
         tool = TOOLS[name]
-        result: ToolOutput = await tool.execute(arguments)
+        result = await tool.execute(arguments)
 
-        if result.is_error:
+        # Tools return list[TextContent], not ToolOutput
-            logger.error(f"Tool {name} failed: {result.text}")
+        if isinstance(result, list):
-        else:
             logger.info(f"Tool {name} completed successfully")
-
+            return result
-        return [TextContent(type="text", text=result.text)]
+        else:
+            # Fallback for unexpected return type
+            logger.warning(f"Tool {name} returned unexpected type: {type(result)}")
+            return [TextContent(type="text", text=str(result))]
 
     except ValueError as e:
         # Validation errors from Pydantic or tool logic