As much as people like to talk about how P values are not useful and debate what values we should use, I don't think there's an especially compelling reason to choose confidence intervals over P values, or complain that one is appropriate and the other is not. They both measure the relationship between statistical likelihood and parameter values. P values fix the parameter values and measure the statistical likelihood, confidence intervals fix the statistical likelihood and measure the parameter values. So if you ask for confidence intervals and they give you a P-value, well you have a confidence interval it just won't be a nice round number like 95% or 99%.

It's kind of like complaining that you ordered 1 kg of water but were delivered 1 l, and insisting that everyone measure water by weight rather than volume. Don't read too much into that analogy, but the relationship between P values and confidence intervals is of a broadly similar nature.