A good Bayesian should be able to make confident decisions based on information available at the moment...No.
A good Bayesian should be able to come to decisions like, "I am 70% confident that Osama bin Laden is in that compound." While the Bayesian next says, "I am only 50% confident that Osama bin Laden is in that compound." With both knowing that there is a difference of opinion, but no disagreement on basic facts or reasoning method.
It is very rare for a good Bayesian to be absolutely confident of any prediction. And if you are often so confident, you're probably not thinking very well. I mean that quite literally - the process of analyzing probabilities well requires being able to make the case both for what you think will happen, and what you think won't. Because only then can you start putting probabilities on the key assumptions.
For example, a leader can be absolutely confident that shelter-in-place is the best decision based on the available information, while acknowledging that there is missing information that would drastically change this assessment.
Really?
https://news.ycombinator.com/item?id=22750790 is a discussion that I was in recently about whether on a cost benefit analysis it is better to crash the economy by shutting things down, or to keep things open and let lots of people die.
The decision wasn't nearly as clear in the end as I would have expected it to be. (That all options are horrible was clear. But we knew that.)