diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index f1e7f6d477906..47a2cf93a4f89 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -1882,8 +1882,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
 
     MSG='Partially validate docstrings (RT03)' ;  echo $MSG
     $BASE_DIR/scripts/validate_docstrings.py --format=actions --errors=RT03 --ignore_functions \
-        pandas.Index.to_numpy\
-        pandas.Categorical.set_categories\
         pandas.CategoricalIndex.set_categories\
         pandas.DataFrame.astype\
         pandas.DataFrame.at_time\
diff --git a/pandas/core/arrays/categorical.py b/pandas/core/arrays/categorical.py
index 886fe4594c17b..49b8ba4c47811 100644
--- a/pandas/core/arrays/categorical.py
+++ b/pandas/core/arrays/categorical.py
@@ -1064,14 +1064,14 @@ def set_categories(
         On the other hand this methods does not do checks (e.g., whether the
         old categories are included in the new categories on a reorder), which
         can result in surprising changes, for example when using special string
-        dtypes, which does not considers a S1 string equal to a single char
+        dtypes, which do not consider a S1 string equal to a single char
         python string.
 
         Parameters
         ----------
         new_categories : Index-like
            The categories in new order.
-        ordered : bool, default False
+        ordered : bool, default None
            Whether or not the categorical is treated as a ordered categorical.
            If not given, do not change the ordered information.
         rename : bool, default False
@@ -1080,7 +1080,8 @@ def set_categories(
 
         Returns
         -------
-        Categorical with reordered categories.
+        Categorical
+            New categories to be used, with optional ordering changes.
 
         Raises
         ------
diff --git a/pandas/core/base.py b/pandas/core/base.py
index 7a3d6cb866ea5..4556b9ab4d4c9 100644
--- a/pandas/core/base.py
+++ b/pandas/core/base.py
@@ -566,6 +566,8 @@ def to_numpy(
         Returns
         -------
         numpy.ndarray
+            The NumPy ndarray holding the values from this Series or Index.
+            The dtype of the array may differ. See Notes.
 
         See Also
         --------