Teach me how to tune my Xgboost classifier

I have an Xgboost multi-class classifier written in Python. I need help with the following
1) Evaluate the model for overfitting
2) Model explainability (e.g. using SHAP)
3) Tips to improve accuracy

You need to be an expert on XGBoost to qualify.