Defined how?
Speaking theoretically:
By definition, economics is the science of predictions based on observation and repeatability. Uncertainty can loosely be defined as outcomes which deviate from those predicted by theorem. When this happens, we must adapt existing or incorporate new theory until principle sufficiently predicts outcomes. In principle, then, theoretical uncertainty isn't "good" or "bad" per se; it's simply a matter of fact. There is always a degree of uncertainty in any scientific claim, but we have reasonable confidence in the theorems that we have given the data that we've collected.
Speaking behaviorally:
There is always a degree of uncertainty clouding the decisions that economic actors make; this is a function of scarcity. There is a shortage of time and resources that can be devoted to acquiring information, and a finite capacity for retaining it usefully. Even if the supply side of the information market were perfect (a simplifying principle generally held to be true in models - we assume that any desirable information is obtainable at some cost), these shortages mean that it can't all be had at the same time by everyone.
This uncertainty introduces risk, which is an economic bad. Before he will accept more risk (uncertainty), an actor will need to be compensated with more goods in order to hold welfare equal. For example, risk in the bond market is compensated with higher interest rates, and risk in the employment market is compensated with higher (if your the consumer) or lower (if your the supplier) wages.
Does that answer your question?