  The Transiting Exoplanet Survey Satellite (TESS) is currently concluding its
2-year primary science mission searching 85% of the sky for transiting
exoplanets. TESS has already discovered well over one thousand TESS objects of
interest (TOIs), but these candidate exoplanets must be distinguished from
astrophysical false positives using other instruments or techniques. The 3-band
Multi-color Simultaneous Camera for Studying Atmospheres of Transiting Planets
(MuSCAT), as well as the 4-band MuSCAT2, can be used to validate TESS
discoveries. Transits of exoplanets are achromatic when observed in multiple
bandpasses, while transit depths for false positives often vary with
wavelength. We created software tools to simulate MuSCAT/MuSCAT2 TESS follow-up
observations and reveal which planet candidates can be efficiently
distinguished from blended eclipsing binary (BEB) false positives using these
two instruments, and which must be validated using other techniques. We applied
our software code to the Barclay et al. (2018) predicted TESS discoveries, as
well as to TOIs downloaded from the ExoFOP-TESS website. We estimate that
MuSCAT (MuSCAT2 values in parentheses) will be able to use its multi-color
capabilities to distinguish BEB false positives for $\sim$17% ($\sim$18%) of
all TESS discoveries, and $\sim$13% ($\sim$15%) of $R_{\rm pl} < 4R_\oplus$
discoveries. Our TOI analysis shows that MuSCAT (MuSCAT2) can distinguish BEB
false positives for $\sim$55% ($\sim$52%) of TOIs with transit depths greater
than 0.001, for $\sim$64% ($\sim$61%) of TOIs with transit depths greater than
0.002, and for $\sim$70% ($\sim$68%) of TOIs with transit depth greater than
0.003. Our work shows that MuSCAT and MuSCAT2 can validate hundreds of $R_{\rm
pl} < 4R_\oplus$ candidate exoplanets, thus supporting the TESS mission in
achieving its Level 1 Science Requirement.
