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.