diff --git a/datafusion/core/tests/user_defined/user_defined_window_functions.rs b/datafusion/core/tests/user_defined/user_defined_window_functions.rs
index 3760328934bc..4ec7d8bdb997 100644
--- a/datafusion/core/tests/user_defined/user_defined_window_functions.rs
+++ b/datafusion/core/tests/user_defined/user_defined_window_functions.rs
@@ -29,14 +29,20 @@ use std::{
 
 use arrow::array::AsArray;
 use arrow_array::{ArrayRef, Int64Array, RecordBatch, StringArray};
-use arrow_schema::{DataType, Field};
+use arrow_schema::{DataType, Field, Schema};
 use datafusion::{assert_batches_eq, prelude::SessionContext};
 use datafusion_common::{Result, ScalarValue};
 use datafusion_expr::{
-    PartitionEvaluator, Signature, Volatility, WindowUDF, WindowUDFImpl,
+    PartitionEvaluator, Signature, TypeSignature, Volatility, WindowUDF, WindowUDFImpl,
 };
-use datafusion_functions_window_common::field::WindowUDFFieldArgs;
 use datafusion_functions_window_common::partition::PartitionEvaluatorArgs;
+use datafusion_functions_window_common::{
+    expr::ExpressionArgs, field::WindowUDFFieldArgs,
+};
+use datafusion_physical_expr::{
+    expressions::{col, lit},
+    PhysicalExpr,
+};
 
 /// A query with a window function evaluated over the entire partition
 const UNBOUNDED_WINDOW_QUERY: &str = "SELECT x, y, val, \
@@ -645,3 +651,120 @@ fn odd_count_arr(arr: &Int64Array, num_rows: usize) -> arrow_array::ArrayRef {
     let array: Int64Array = std::iter::repeat(odd_count(arr)).take(num_rows).collect();
     Arc::new(array)
 }
+
+#[derive(Debug)]
+struct VariadicWindowUDF {
+    signature: Signature,
+}
+
+impl VariadicWindowUDF {
+    fn new() -> Self {
+        Self {
+            signature: Signature::one_of(
+                vec![
+                    TypeSignature::Any(0),
+                    TypeSignature::Any(1),
+                    TypeSignature::Any(2),
+                    TypeSignature::Any(3),
+                ],
+                Volatility::Immutable,
+            ),
+        }
+    }
+}
+
+impl WindowUDFImpl for VariadicWindowUDF {
+    fn as_any(&self) -> &dyn Any {
+        self
+    }
+
+    fn name(&self) -> &str {
+        "variadic_window_udf"
+    }
+
+    fn signature(&self) -> &Signature {
+        &self.signature
+    }
+
+    fn partition_evaluator(
+        &self,
+        _: PartitionEvaluatorArgs,
+    ) -> Result<Box<dyn PartitionEvaluator>> {
+        unimplemented!("unnecessary for testing");
+    }
+
+    fn field(&self, _: WindowUDFFieldArgs) -> Result<Field> {
+        unimplemented!("unnecessary for testing");
+    }
+}
+
+#[test]
+// Fixes: default implementation of `WindowUDFImpl::expressions`
+// returns all input expressions to the user-defined window
+// function unmodified.
+//
+// See: https://github.com/apache/datafusion/pull/13169
+fn test_default_expressions() -> Result<()> {
+    let udwf = WindowUDF::from(VariadicWindowUDF::new());
+
+    let field_a = Field::new("a", DataType::Int32, false);
+    let field_b = Field::new("b", DataType::Float32, false);
+    let field_c = Field::new("c", DataType::Boolean, false);
+    let schema = Schema::new(vec![field_a, field_b, field_c]);
+
+    let test_cases = vec![
+        //
+        // Zero arguments
+        //
+        vec![],
+        //
+        // Single argument
+        //
+        vec![col("a", &schema)?],
+        vec![lit(1)],
+        //
+        // Two arguments
+        //
+        vec![col("a", &schema)?, col("b", &schema)?],
+        vec![col("a", &schema)?, lit(2)],
+        vec![lit(false), col("a", &schema)?],
+        //
+        // Three arguments
+        //
+        vec![col("a", &schema)?, col("b", &schema)?, col("c", &schema)?],
+        vec![col("a", &schema)?, col("b", &schema)?, lit(false)],
+        vec![col("a", &schema)?, lit(0.5), col("c", &schema)?],
+        vec![lit(3), col("b", &schema)?, col("c", &schema)?],
+    ];
+
+    for input_exprs in &test_cases {
+        let input_types = input_exprs
+            .iter()
+            .map(|expr: &Arc<dyn PhysicalExpr>| expr.data_type(&schema).unwrap())
+            .collect::<Vec<_>>();
+        let expr_args = ExpressionArgs::new(input_exprs, &input_types);
+
+        let ret_exprs = udwf.expressions(expr_args);
+
+        // Verify same number of input expressions are returned
+        assert_eq!(
+            input_exprs.len(),
+            ret_exprs.len(),
+            "\nInput expressions: {:?}\nReturned expressions: {:?}",
+            input_exprs,
+            ret_exprs
+        );
+
+        // Compares each returned expression with original input expressions
+        for (expected, actual) in input_exprs.iter().zip(&ret_exprs) {
+            assert_eq!(
+                format!("{expected:?}"),
+                format!("{actual:?}"),
+                "\nInput expressions: {:?}\nReturned expressions: {:?}",
+                input_exprs,
+                ret_exprs
+            );
+        }
+    }
+    Ok(())
+}
diff --git a/datafusion/expr/src/udwf.rs b/datafusion/expr/src/udwf.rs
index 6ab94c1e841a..124625280670 100644
--- a/datafusion/expr/src/udwf.rs
+++ b/datafusion/expr/src/udwf.rs
@@ -312,10 +312,7 @@ pub trait WindowUDFImpl: Debug + Send + Sync {
 
     /// Returns the expressions that are passed to the [`PartitionEvaluator`].
     fn expressions(&self, expr_args: ExpressionArgs) -> Vec<Arc<dyn PhysicalExpr>> {
-        expr_args
-            .input_exprs()
-            .first()
-            .map_or(vec![], |expr| vec![Arc::clone(expr)])
+        expr_args.input_exprs().into()
     }
 
     /// Invoke the function, returning the [`PartitionEvaluator`] instance