Comparison of hydrodynamic calculations with experimental data inevitably requires a model for converting the fluid to particles. For shear viscous fluids, several different conversion models have been proposed, such as the quadratic Grad corrections, the Strickland-Romatschke (SR) ansatz, self-consistent shear corrections from linearized kinetic theory, or corrections from the relaxation time approach. We show, via comparison to nonlinear $2\ensuremath{\rightarrow}2$ kinetic theory evolution, that even for low specific shear viscosities $0.03\ensuremath{\lesssim}\ensuremath{\eta}/s\ensuremath{\lesssim}0.2$, these four models have varying accuracy and still significant errors in reproducing particle phase space densities from hydrodynamic fields. Moreover, we demonstrate that the overall reconstruction error of additive shear viscous $f={f}_{\mathrm{eq}}+\ensuremath{\delta}f$ models dramatically reduces by up to one order of magnitude, if one ensures through exponentiation that $f$ is always positive. We also illustrate how even more accurate viscous $\ensuremath{\delta}f$ models can be constructed by incorporating the first time derivatives of hydrodynamic fields to account for the past evolution of the system. Such time derivatives are readily available in hydrodynamic simulations, though usually not included in the output. Though our comparisons are limited to a one-component massless system undergoing a $(0+1)$-dimensional $(0+1\mathrm{D})$ longitudinal boost-invariant expansion, we expect that the improved models will be useful in $2+1\mathrm{D}$ and $3+1\mathrm{D}$ hydrodynamic studies as well.