diff --git a/pandas/core/arrays/boolean.py b/pandas/core/arrays/boolean.py
index 298e5ddb049ec..6abeec54c8f2c 100644
--- a/pandas/core/arrays/boolean.py
+++ b/pandas/core/arrays/boolean.py
@@ -41,29 +41,84 @@
 @register_extension_dtype
 class BooleanDtype(BaseMaskedDtype):
     """
-    Extension dtype for boolean data.
+     Extension dtype for boolean data, with support for missing values.
+
+     BooleanDtype is used to represent boolean data (True/False), with the ability to
+     handle missing (NA) values through pandas' extension dtype system. This allows
+     for efficient storage, computation, and interoperability with nullable boolean
+     arrays in pandas objects.
+
+     .. warning::
+        BooleanDtype is considered experimental. The implementation and
+        parts of the API may change without warning.
+
+     Attributes
+     ----------
+     name : str
+         String identifying the dtype ('boolean').
+     kind : str
+         The kind of data ('b' for boolean).
+     numpy_dtype : numpy.dtype
+         The underlying NumPy dtype used ('bool').
+     type : type
+         The scalar type for elements of this dtype (np.bool_).
+
+
+     See Also
+     --------
+     BooleanArray : Extension array for boolean data with missing values.
+     StringDtype : Extension dtype for string data.
+     array : Create a pandas array with a specific dtype.
+     Series : One-dimensional ndarray with axis labels.
+     DataFrame : Two-dimensional, size-mutable, tabular data.
 
-    .. warning::
-
-       BooleanDtype is considered experimental. The implementation and
-       parts of the API may change without warning.
+    Examples
+     --------
+     Create a Series with BooleanDtype:
+=======
+        BooleanDtype is considered experimental. The implementation and
+        parts of the API may change without warning.
 
     Attributes
     ----------
-    None
+    name : str
+        String identifying the dtype ('boolean').
+    kind : str
+        The kind of data ('b' for boolean).
+    numpy_dtype : numpy.dtype
+        The underlying NumPy dtype used ('bool').
+    type : type
+        The scalar type for elements of this dtype (np.bool_).
 
-    Methods
-    -------
-    None
 
     See Also
     --------
+    BooleanArray : Extension array for boolean data with missing values.
     StringDtype : Extension dtype for string data.
+    array : Create a pandas array with a specific dtype.
+    Series : One-dimensional ndarray with axis labels.
+    DataFrame : Two-dimensional, size-mutable, tabular data.
 
-    Examples
+   Examples
     --------
-    >>> pd.BooleanDtype()
-    BooleanDtype
+    Create a Series with BooleanDtype:
+
+     >>> s = pd.Series([True, False, None], dtype="boolean")
+     >>> s
+     0     True
+     1    False
+     2     <NA>
+     dtype: boolean
+
+     You can construct BooleanDtype directly:
+
+     >>> pd.BooleanDtype()
+     BooleanDtype
+
+     Check that a Series has BooleanDtype:
+
+     >>> s.dtype
+     BooleanDtype
     """
 
     name: ClassVar[str] = "boolean"