On Girsanov Theorem to switch from Risk-Neutral to Stock Numeraire

Summary: long-story cut short, the question is asking for what types of functions $f(.)$, the Cameron-Martin-Girsanov theorem can be used as follows:

$$ mathbb{E}^{mathbb{P}^2}[f(W_t)]=mathbb{E}^{mathbb{P}^1}left[frac{dmathbb{P}^2}{dmathbb{P}^1}f(W_t)right] $$

Long story: the Radon-Nikodym when changing from risk-neutral to Stock measure is:

$$frac{dN^{S}}{dN^{Q}}=frac{N^{Q}_{t_0}}{N^{Q}_{t}} frac{N^{S}_{t}}{N^{S}_{t_0}}=frac{1}{e^{rt}}frac{S_t}{S_{t_0}}=e^{-0.5sigma^2t+sigma W_t}$$

The following type of calc is often seen in finance:

$$mathbb{E}^{N^S}left[S_t right]=mathbb{E}^{N^Q}left[S_t^Q frac{dN^{S}}{dN^{Q}} right]=\=mathbb{E}[S_t^Q*e^{-0.5sigma^2t+sigma W_t}]=\=S_0e^{rt-0.5sigma^2t+sigma W_t}*e^{-0.5sigma^2t+sigma W_t}=\=S_0e^{rt+sigma^2t}$$

The CMG theorem tells us that the Radon-Nikodym derivative $e^{-0.5sigma^2t+sigma W_t}$ can be applied to $W_t$ directly to modify it’s drift and to create some new measure under which $W_t$ will no longer be a Standard Brownian motion. If we step-away from finance and denote the measure under which $W_t$ is standard Brownian as $mathbb{P}^1$, the new measure under which $W_t$ is a Brownian with a drift as $mathbb{P}^2$, and the radon-nikodym as $frac{dmathbb{P}^2}{dmathbb{P}^1}$, we can write:

$$mathbb{P}^2(W_t<a):=mathbb{E}^{mathbb{P}^1}left[frac{dmathbb{P}^2}{dmathbb{P}^1} * I_{{W_t<a}} right] =mathbb{E}^{mathbb{P}^1}left[e^{-0.5sigma^2t+sigma W_t} * I_{{W_t<a}} right] $$

The above is basically the definition of $mathbb{P^2}$ via the implicit definition of the Radon-Nikodym derivative. An extension of the above definition is that:

$$ mathbb{E}^{mathbb{P}^2}[W_t]=mathbb{E}^{mathbb{P}^1}left[frac{dmathbb{P}^2}{dmathbb{P}^1}W_tright] $$

Question: in our finance case of stock, the stock price process is actually a function of $W_t$, so we could write $S_t=f(W_t)$. In the equation $mathbb{E}^{N^S}left[S_t right]=mathbb{E}^{N^Q}left[S_t^Q frac{dN^{S}}{dN^{Q}} right]$, we are actually using the fact that:

$$ mathbb{E}^{mathbb{P}^2}[f(W_t)]=mathbb{E}^{mathbb{P}^1}left[frac{dmathbb{P}^2}{dmathbb{P}^1}f(W_t)right] $$

Is there an easy way to prove that we can do that? Obviously it does work as shown in the case of the stock price process above, because it produces the correct result. But for what $f(.)$ does the result hold? I am sure there must be some restrictions on the types of functions $f(.)$ for which the result holds true.