diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index eb4f03cdf4083..0c3b6014cb30a 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -239,7 +239,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.extensions.ExtensionArray.view SA01" \
         -i "pandas.api.interchange.from_dataframe RT03,SA01" \
         -i "pandas.api.types.is_bool PR01,SA01" \
-        -i "pandas.api.types.is_bool_dtype SA01" \
         -i "pandas.api.types.is_categorical_dtype SA01" \
         -i "pandas.api.types.is_complex PR01,SA01" \
         -i "pandas.api.types.is_complex_dtype SA01" \
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index 64b5278424192..bcf1ade9b0320 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -1274,6 +1274,10 @@ def is_bool_dtype(arr_or_dtype) -> bool:
     """
     Check whether the provided array or dtype is of a boolean dtype.
 
+    This function verifies whether a given object is a boolean data type. The input
+    can be an array or a dtype object. Accepted array types include instances
+    of ``np.array``, ``pd.Series``, ``pd.Index``, and similar array-like structures.
+
     Parameters
     ----------
     arr_or_dtype : array-like or dtype
@@ -1284,6 +1288,10 @@ def is_bool_dtype(arr_or_dtype) -> bool:
     boolean
         Whether or not the array or dtype is of a boolean dtype.
 
+    See Also
+    --------
+    api.types.is_bool : Check if an object is a boolean.
+
     Notes
     -----
     An ExtensionArray is considered boolean when the ``_is_boolean``