Discrepancy in clustering metric explanation and table.

In the clustering metric table Characteristics for Beale Index , it is mentioned Smaller is better (Best = 0), Range = [0, +inf) whereas in explanation, it is mentioned "The Beale Index ranges from 0 to infinity, with higher values indicating better clustering solutions. However, the Beale Index has a tendency to favor solutions with more clusters, so it’s important to consider other metrics in conjunction with it." Also, by definition of Beale it must be bigger is better? Please clarify. Likewise similar issue with Density-based Clustering Validation Index. Which is better higher or lower value.