The primary benefit of TLA+ over
any general-purpose language is that it – as a modeling language – allows you to elide those parts of your system that "don't matter". To continue my earlier server example, when modeling, I probably don't care specifically which functions I'm using to read data from the network, under what conditions they produce which errors, or how the OS might decide to schedule them. I just care that such a function
exists, that it
may error out, and that it gets scheduled
somehow.
Then, as a consequence of clearly expressing all the behaviors my system might express, TLC (the TLA+ model checker) is able to exhaustively search these possibilities for bugs. This is at best intractable for any system where you are unable to abstract out the things that "don't matter", like in Rust. There are just too many variables (literally) in the search space.
That said, there's nothing particularly special about TLA+, or especially PlusCal. They just provide language features such as first-class sets and clearly-defined atomic state transitions that make it very easy to describe a system without too much irrelevant "stuff". The only particularly notable feature of the modelling portion of the languages is nondeterminism, which is necessary to express the boundaries of your model (e.g. nondeterminism is how you model the "receive from network" function as "a function that either returns some data or throws some error").
One could even imagine using Rust (to use your example) as a modeling language. You'd need to add nondeterminism (or another means of specifying contracts), and a way to specify temporal invariants to check. And also annotate which functions act as mutexes and which may block waiting for I/O. And you'd probably want to stub out container types so the model checker doesn't have to model their implementations. But once you've done all that, your mutant Rust is starting to look a heck of a lot like PlusCal, only more complicated.