The answer for precision resides in the intention.
Statistics often runs with means, and means broadens at a slight loss of precision. Rounding or stopping at a particular numeric point does the same; and that extra room of “imprecise” is often necessary to cover gaps in theory.
Precision is a quality and as you pointed out there are several ways to express that quality.