revert back to old prompt

vision_agent/tools/tools.py

@@ -1146,10 +1146,10 @@ def florence2_image_caption(image: np.ndarray, detail_caption: bool = True) -> s
 def florence2_phrase_grounding(
  prompt: str, image: np.ndarray, fine_tune_id: Optional[str] = None
 ) -> List[Dict[str, Any]]:
- """'florence2_phrase_grounding' will run florence2 on a image. It can
- detect multiple objects given a text prompt which can be object names or caption.
- You can optionally separate the object names in the text with commas. It returns
- a list of bounding boxes with normalized coordinates, label names and associated
+ """'florence2_phrase_grounding' is a tool that can detect multiple
+ objects given a text prompt which can be object names or caption. You
+ can optionally separate the object names in the text with commas. It returns a list
+ of bounding boxes with normalized coordinates, label names and associated
  probability scores of 1.0.
 
  Parameters: