diff --git a/narwhals/expression.py b/narwhals/expression.py
index 7641c58b0..1e5f53a38 100644
--- a/narwhals/expression.py
+++ b/narwhals/expression.py
@@ -2356,7 +2356,39 @@ def all() -> Expr:
 
 def len() -> Expr:
     """
-    Instantiate an expression representing the length of a dataframe, similar to `polars.len`.
+    Return the number of rows.
+
+    Arguments:
+        *columns: Name(s) of the columns to use in the aggregation function.
+
+    Examples:
+        >>> import polars as pl
+        >>> import pandas as pd
+        >>> import narwhals as nw
+        >>> df_pd = pd.DataFrame({'a': [1, 2], 'b': [5, 10]})
+        >>> df_pl = pl.DataFrame({'a': [1, 2], 'b': [5, 10]})
+
+        Let's define a dataframe-agnostic function:
+
+        >>> def func(df_any):
+        ...    df = nw.from_native(df_any)
+        ...    df = df.select(nw.len())
+        ...    return nw.to_native(df)
+
+        We can then pass either pandas or Polars to `func`:
+
+        >>> func(df_pd)
+           len
+        0    2
+        >>> func(df_pl)
+        shape: (1, 1)
+        ┌─────┐
+        │ len │
+        │ --- │
+        │ u32 │
+        ╞═════╡
+        │ 2   │
+        └─────┘
     """
 
     def func(plx: Any) -> Any:
@@ -2365,7 +2397,7 @@ def func(plx: Any) -> Any:
             and (pl := get_polars()) is not None
             and parse_version(pl.__version__) < parse_version("0.20.4")
         ):  # pragma: no cover
-            return plx.count()
+            return plx.count().alias("len")
         return plx.len()
 
     return Expr(func)