The MSE formula is very general: it holds under any distribution of effect sizes, including distributions that violate the homogeneous-Ω assumption. The formula implies that for each trait, the MTAG estimates always have a lower genome-wide MSE than corresponding GWAS estimates. That in turn suggests that polygenic predictors constructed from MTAG results are likely to outperform GWAS-based predictors very generally.
