What are the most important filters provided by Mutect2 and how should we order them based on their priority?

Question

[Researcher]

Hi All,

I want to prioritize the functionally relevant somatic variations in cancer normal pairs for which I used Mutect2. Looking at the vcf I found only 10% have passed all the filters and there are many which do not qualify one or more filters defined by Mutect2 as given below:

-alt_allele_in_normal,Description="Evidence seen in the normal sample",
-clustered_events,Description="Clustered events observed in the tumor",
-clustered_read_position,Description="Evidence for somatic variant clusters near the ends of reads",
-germline_risk,Description="Evidence indicates this site is germline, not somatic",
-homologous_mapping_event,Description="More than three events were observed in the tumor",
-multi_event_alt_allele_in_normal,Description="Multiple events observed in tumor and normal",
-panel_of_normals,Description="Seen in at least 2 samples in the panel of normals",
-str_contraction,Description="Site filtered due to contraction of short tandem repeat region",
-strand_artifact,Description="Evidence for alt allele comes from one read direction only",
-t_lod_fstar,Description="Tumor does not meet likelihood threshold",
-triallelic_site,Description="Site filtered because more than two alt alleles pass tumor LOD"

I am not sure among them which are the most important ones and must be considered for calling somatic events and which can be overlooked.

Any suggestions would be highly appreciated. Thanks

[Researcher]

Here my concern is I am left with few thousands of sites (~2000) even in a WGS data from human genome, which looks quite weird. I am looking for any suggestions, Is it really ok to have such a few call from WGS data using mutect2?