diff --git a/cloud/safety_checker.py b/cloud/safety_checker.py
index 0b9103b..961cebe 100644
--- a/cloud/safety_checker.py
+++ b/cloud/safety_checker.py
@@ -6,10 +6,10 @@ from APIs.aichat import generate
 # 1. Define the output schema as a Pydantic model
 class DishSafetyResult(BaseModel):
     is_safe: bool = Field(
-        description="True if no microwave hazards (metal, foil, sealed packaging) are present."
+        description="True if no microwave hazards (metal, foil, sealed packaging, ...) are present."
     )
     warning_message: str = Field(
-        description="Explanation of any hazard found, or an empty string if safe."
+        description="Short explanation of any hazard found (no more than one sentence), or an empty string if safe."
     )
     detected_hazards: list[str] = Field(
         description="List of specific hazard items detected."
@@ -19,7 +19,7 @@ class DishSafetyResult(BaseModel):
 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."
+        "Inspect the area for metal utensils, aluminum foil, metallic dish patterns, or unvented plastic wraps that could be dangerous for the cooking process or pose a safety risk."
     )
 
     # 2. Pass the Pydantic class directly to generate()