Python's `all()` returns `True` for empty iterables. When `aggregateField` is missing, empty, or contains items with empty/missing `yAxes`, the generator produces zero elements and `has_equations` evaluates to `True`. This allows queries without equations (and without aggregate fields) to bypass the metric field validation on the metrics dataset, contrary to the intended behavior of only bypassing validation when all y-axes are equations.