diff --git a/README.md b/README.md
index 5cd8da4..d000168 100644
--- a/README.md
+++ b/README.md
@@ -145,12 +145,6 @@ if report.has_fails():
     raise SystemExit("Dataset validation failed")
 ```
 
-The API also accepts the requested alias spelling:
-
-```python
-report = validate_dataset(ds, time="forecast", space="grid", uncertaity="deterministic")
-```
-
 ## Development
 
 Run tests:
diff --git a/src/mlwp_data_specs/api.py b/src/mlwp_data_specs/api.py
index d193d0f..06a1e90 100644
--- a/src/mlwp_data_specs/api.py
+++ b/src/mlwp_data_specs/api.py
@@ -127,10 +127,14 @@ def validate_dataset(
     time: Time | str | None = None,
     space: Space | str | None = None,
     uncertainty: Uncertainty | str | None = None,
-    uncertaity: Uncertainty | str | None = None,
 ) -> ValidationReport:
     """Validate a dataset against selected trait specifications.
 
+    If a trait is not explicitly provided as an argument, this function
+    will attempt to resolve it from the dataset's attributes (e.g.,
+    ``mlwp_time_trait``, ``mlwp_space_trait``, ``mlwp_uncertainty_trait``).
+    If both are provided and differ, the argument takes precedence.
+
     Parameters
     ----------
     ds : xr.Dataset
@@ -142,8 +146,6 @@ def validate_dataset(
     uncertainty : Uncertainty | str | None, optional
         Uncertainty trait profile (for example ``"deterministic"``,
         ``"ensemble"``, or ``"quantile"``).
-    uncertaity : Uncertainty | str | None, optional
-        Backward-compatible alias for ``uncertainty`` (spelling preserved).
 
     Returns
     -------
@@ -155,14 +157,9 @@ def validate_dataset(
     ValueError
         Raised when no traits are selected or when invalid trait values are provided.
     """
-    if uncertainty is not None and uncertaity is not None:
-        raise ValueError("Provide only one of 'uncertainty' or 'uncertaity', not both")
-
-    uncertainty_value = uncertainty if uncertainty is not None else uncertaity
-
     time_trait = _resolve_trait(ds, time, Time)
     space_trait = _resolve_trait(ds, space, Space)
-    uncertainty_trait = _resolve_trait(ds, uncertainty_value, Uncertainty)
+    uncertainty_trait = _resolve_trait(ds, uncertainty, Uncertainty)
 
     if not any([time_trait, space_trait, uncertainty_trait]):
         raise ValueError("At least one trait must be selected")
diff --git a/tests/test_api.py b/tests/test_api.py
index abc4fb2..05dec0c 100644
--- a/tests/test_api.py
+++ b/tests/test_api.py
@@ -46,14 +46,6 @@ def test_validate_dataset_accepts_string_traits() -> None:
     assert not report.has_fails()
 
 
-def test_validate_dataset_supports_uncertaity_alias() -> None:
-    """API accepts the spelled-as-requested uncertainty alias argument."""
-    report = validate_dataset(
-        _forecast_grid_ds(), time="forecast", space="grid", uncertaity="deterministic"
-    )
-    assert not report.has_fails()
-
-
 def test_validate_dataset_requires_trait() -> None:
     """API raises when no traits are selected."""
     with pytest.raises(ValueError, match="At least one trait"):