Because "disorder" may be on a spectrum, because "negative" and "impact" may be on a spectrum. Conditions like depression follow a bell-curve, there's no clear line between depressed and not, and we can draw a line in the sand, but statistically there's no justification for where that line falls.
One way to try to draw a line is "the point at which a certain intervention is no longer effective."
For example studies find CBT therapy reduces depression scores for depressed people ~.8 standard deviations (for a while).
But why not try CBT therapy on happy people? Maybe it's even more effective on people who are already happy. Well the reason why not is likely just because of the clumsy nature of healthcare -- interventions are thought of as "treatments" for "conditions", even though that lens doesn't always make sense.