I find it hard to believe you cannot find online resources - its the world wide web! You don't necessarily need to find software specific resources, any lists of assumptions should be of interest.

Do you code in JMP, is that an option. I regularly you SAS, so I may be able to help. Though, I don't run much count data, so my memory is somewhat hazy.

If I remember correctly, you first look at the distribution of the outcome and examine mean versus variance. There are some dispersion tests you can run. You can also overlay known distribution over distribution of outcome data to look for good fits. You can also take into account if data are say 0 truncated or zero inflated. Also if the mean is high, a linear regression can be used some times or if outcome rear you can sometimes use logistic regression.