It might be enough. If it's published in a venue where the authors would get called on bullshit priors, the fact that it's been published is evidence that they used reasonably good priors.
The point applies well to evidentialists but not so well to personalists. If I am a personalist Bayesian -- the kind of Bayesian for which all of the nice coherence results apply -- then my priors just are my actual degrees of belief prior to conducting whatever experiment is at stake. If I do my elicitation correctly, then there is just no sense to saying that my prior is bullshit, regardless of whether it is calibrated well against whatever data someone else happens to think is relevant. Personalists simply don't accept any such calibration constraint...
http://xkcd.com/1132/
Is this a fair representation of frequentists versus bayesians? I feel like every time the topic comes up, 'Bayesian statistics' is an applause light for me, and I'm not sure why I'm supposed to be applauding.