diff --git a/ci/code_checks.sh b/ci/code_checks.sh
index f2d9f582d8932..c8fde0c330d0a 100755
--- a/ci/code_checks.sh
+++ b/ci/code_checks.sh
@@ -123,7 +123,6 @@ if [[ -z "$CHECK" || "$CHECK" == "docstrings" ]]; then
         -i "pandas.api.types.is_iterator PR07,SA01" \
         -i "pandas.api.types.is_list_like SA01" \
         -i "pandas.api.types.is_named_tuple PR07,SA01" \
-        -i "pandas.api.types.is_object_dtype SA01" \
         -i "pandas.api.types.is_re PR07,SA01" \
         -i "pandas.api.types.is_re_compilable PR07,SA01" \
         -i "pandas.api.types.pandas_dtype PR07,RT03,SA01" \
diff --git a/pandas/core/dtypes/common.py b/pandas/core/dtypes/common.py
index ff855f97a352b..4d6ecfce48112 100644
--- a/pandas/core/dtypes/common.py
+++ b/pandas/core/dtypes/common.py
@@ -139,6 +139,11 @@ def is_object_dtype(arr_or_dtype) -> bool:
     """
     Check whether an array-like or dtype is of the object dtype.
 
+    This method examines the input to determine if it is of the
+    object data type. Object dtype is a generic data type that can
+    hold any Python objects, including strings, lists, and custom
+    objects.
+
     Parameters
     ----------
     arr_or_dtype : array-like or dtype
@@ -149,6 +154,15 @@ def is_object_dtype(arr_or_dtype) -> bool:
     boolean
         Whether or not the array-like or dtype is of the object dtype.
 
+    See Also
+    --------
+    api.types.is_numeric_dtype : Check whether the provided array or dtype is of a
+        numeric dtype.
+    api.types.is_string_dtype : Check whether the provided array or dtype is of
+        the string dtype.
+    api.types.is_bool_dtype : Check whether the provided array or dtype is of a
+        boolean dtype.
+
     Examples
     --------
     >>> from pandas.api.types import is_object_dtype