From the Wikipedia page on chirp, if I provide some time-dependent frequency function $f(t)$, this has to be integrated if I want to use it as the argument to, say, a sinusoid. Suppose $f(t) = f_0+kt$; then
$x(t) = \sin\left(2\pi\int_0^t f(\tau)d\tau\right) = \sin\left[2\pi\left(f_0t+\frac{k}{2}t^2+\phi_0\right)\right]$
Why is it not good enough to claim that $x(t) = \sin(2\pi f(t)t) \equiv \sin(\omega(t)t)$?
If you just said $\sin(2\pi f(t)t)$, the instant frequency would be $\frac{d}{dt}\bigl[f(t)t\bigr]$ which is (by the product rule) $f(t) + f'(t)t$. The first of these terms is what you want; but the second contributes an unwanted error which can be as large as your desired frequency variation (or even larger) if $f'(t)$ is large.
For example, if you set $f(t) = \frac{1}{4t}$ you get $\sin(2\pi f(t)t)=\sin(\frac{\pi}{2})=1$, so instead of a chirp with falling frequency you get a constant, i.e. frequency 0 everywhere. The error has completely swallowed the intended frequency history.