diff --git a/cloud/safety_checker.py b/cloud/safety_checker.py
index b076278..42bca92 100644
--- a/cloud/safety_checker.py
+++ b/cloud/safety_checker.py
@@ -6,21 +6,27 @@ import shared.config as config
 
 # 1. Define the output schema as a Pydantic model
 class DishSafetyResult(BaseModel):
-    is_safe: bool = Field(
-        description="True if no microwave hazards presents."
+    visible_objects: list[str] = Field(
+        description="List all distinct physical objects visible in or around the dish (e.g., bowl, liquid, spoon, cover)."
     )
-    warning_message: str = Field(
-        description=f"Short explanation of any hazard found (no more than one sentence), or an empty string if safe.",
+    material_analysis: str = Field(
+        description="Analyze the physical material of each visible object (e.g., ceramic, stainless steel, glass, flexible film)."
     )
     detected_hazards: list[str] = Field(
-        description="List of specific hazard items detected. Only include items that are actually present in the image. If no hazards are detected, this list should be empty."
+        description="List only the items from visible_objects made of metal, metallic foil/trim, or sealed plastic. Empty if none."
+    )
+    is_safe: bool = Field(
+        description="Must be set to True ONLY if detected_hazards is empty. Otherwise False."
+    )
+    warning_message: str = Field(
+        description="One short sentence explaining the hazard if detected_hazards is not empty, otherwise an empty string."
     )
 
 
 def check_dish_safety(image_path: str) -> dict:
     prompt = (
-        "Analyze this top-down photo of a dish prepared for microwave cooking. "
-        "Inspect the area for metal utensils, aluminum foil, metallic dish patterns, or unvented plastic wraps that could be dangerous for the dish microwave cooking process or pose a safety risk."
+        "Examine this top-down photo of a dish intended for a microwave. "
+        "Carefully inspect all visible objects and their surface materials to determine if any microwave safety hazards exist."
     )
 
     # 2. Pass the Pydantic class directly to generate()
@@ -28,7 +34,7 @@ def check_dish_safety(image_path: str) -> dict:
         prompt=prompt,
         images=[image_path],
         output_format=DishSafetyResult,
-        should_think=False
+        should_think=False,
     )
     print(f"[Debug] Raw response from AI generator: {response_raw}")