diff --git a/pandas/_config/__init__.py b/pandas/_config/__init__.py
index 73ed99c3a4640..a034daf1c5c23 100644
--- a/pandas/_config/__init__.py
+++ b/pandas/_config/__init__.py
@@ -31,10 +31,70 @@
 
 
 def using_copy_on_write() -> bool:
+    """
+    Determine if copy-on-write mode is being used.
+
+    This function examines the global pandas configuration settings.
+    Copy-on-write is a memory-saving technique that avoids copying data
+    until it is actually modified, which can be particularly useful when
+    working with large datasets.
+
+    Parameters
+    ----------
+        None
+
+    Returns
+    -------
+    bool
+        'True' if copy-on-write mode is enabled and the data manager
+        is set to "block", otherwise 'False'.
+
+    Example
+    -------
+    >>> pd.set_option('mode.chained_assignment', 'raise')
+    >>> pd.set_option('mode.copy', True)
+    >>> pd.set_option('mode.use_inf_as_na', True)
+    >>> pd.set_option('compute.use_bottleneck', False)
+    >>> pd.set_option('compute.use_numexpr', False)
+    >>> using_copy_on_write()
+    True
+    """
     _mode_options = _global_config["mode"]
     return _mode_options["copy_on_write"] and _mode_options["data_manager"] == "block"
 
 
 def using_nullable_dtypes() -> bool:
+    """
+    Determine if nullable data types are being used.
+
+    This function reads the `mode` configuration option from the global
+    configuration object and indicate whether nullable data types are allowed.
+
+    Parameters
+    ----------
+        None
+
+    Returns
+    -------
+    bool
+        'True' if pandas is using nullable data types, otherwise 'False'.
+
+    Example
+    -------
+    >>> pd.set_option('mode.use_inf_as_na', True)
+    >>> pd.set_option('mode.use_nullable_dtypes', True)
+    >>> using_nullable_dtypes()
+    True
+    >>> pd.set_option('mode.use_nullable_dtypes', False)
+    >>> using_nullable_dtypes()
+    False
+
+    Notes
+    -----
+    This function assumes that the global pandas configuration settings have
+    already been initialized. If you are not sure whether the settings
+    have been initialized, you can call the
+    pandas.api.types.is_extension_type() function to force initialization.
+    """
     _mode_options = _global_config["mode"]
     return _mode_options["nullable_dtypes"]