diff --git a/tests/test_patch_extraction.py b/tests/test_patch_extraction.py
index 8b6d8e047..2609b9a48 100644
--- a/tests/test_patch_extraction.py
+++ b/tests/test_patch_extraction.py
@@ -669,9 +669,11 @@ def test_invalid_points_type() -> None:
     """Test invalid locations_list type for PointsPatchExtractor."""
     img = np.zeros((256, 256, 3))
     coords = [[10, 10]]
+    msg = "Please input correct locations_list. "
+    msg += "Supported types: np.ndarray, DataFrame, str, Path."
     with pytest.raises(
         TypeError,
-        match="Please input correct locations_list",
+        match=msg,
     ):
         patchextraction.get_patch_extractor(
             "point", input_img=img, locations_list=coords, patch_size=38
diff --git a/tiatoolbox/tools/patchextraction.py b/tiatoolbox/tools/patchextraction.py
index f8a144f9e..21fcb4eb0 100644
--- a/tiatoolbox/tools/patchextraction.py
+++ b/tiatoolbox/tools/patchextraction.py
@@ -775,7 +775,8 @@ def __init__(
         try:
             self.locations_df = misc.read_locations(input_table=locations_list)
         except (TypeError, FileNotSupportedError) as exc:
-            msg = "Please input correct locations_list"
+            msg = "Please input correct locations_list. "
+            msg += "Supported types: np.ndarray, DataFrame, str, Path."
             raise TypeError(msg) from exc
         self.locations_df["x"] = self.locations_df["x"] - int(
             (self.patch_size[1] - 1) / 2,
diff --git a/tiatoolbox/utils/misc.py b/tiatoolbox/utils/misc.py
index f8703673b..1e02a3ce0 100644
--- a/tiatoolbox/utils/misc.py
+++ b/tiatoolbox/utils/misc.py
@@ -531,7 +531,7 @@ def read_locations(
             out_table = pd.read_json(input_table)
             return __assign_unknown_class(out_table)
 
-        msg = "File type not supported."
+        msg = "File type not supported. Supported types: .npy, .csv, .json"
         raise FileNotSupportedError(msg)
 
     if isinstance(input_table, np.ndarray):
@@ -540,7 +540,9 @@ def read_locations(
     if isinstance(input_table, pd.DataFrame):
         return __assign_unknown_class(input_table)
 
-    msg = "File type not supported."
+    msg = "File type not supported. "
+    msg += "Supported types: str, Path, PathLike, np.ndarray, pd.DataFrame"
+
     raise TypeError(msg)