Update app.py

app.py

@@ -162,7 +162,18 @@ app = gr.Interface(
     api_name="predict"
 )
 
+# ---------------------------------------------------
+# Explicit MCP API Definition
+# ---------------------------------------------------
+# We explicitly add the API using the Pydantic model for schema generation
+app.api.post(
+    "/mcp/tool/robot_watch", # This defines the exact endpoint path for the tool
+    run_vlm_analysis,      # Link it to the Pydantic-typed function
+    inputs=[RobotWatchPayload], # Use the Pydantic model as the explicit input schema
+    outputs=[dict]             # The output type
+)
+
+
 if __name__ == "__main__":
-    # Gradio will use the function signature of `gradio_interface_fn`
-    # (which uses RobotWatchPayload) to generate a valid MCP tool schema.
+    # Launch Gradio with mcp_server=True which hooks up the above API
     app.launch(mcp_server=True)