Concept:
Error constants are used to evaluate the steady-state performance of a control system.
The important static error constants are:
\[
K_p=\lim_{s\to0}G(s)
\]
\[
K_v=\lim_{s\to0}sG(s)
\]
\[
K_a=\lim_{s\to0}s^2G(s)
\]
These constants help determine the steady-state error for standard test inputs such as step, ramp and parabolic signals.
Step 1: Understand the purpose of error constants.
Error constants do not provide information about transient response parameters such as:
\[
t_r,\; t_p,\; t_s,\; M_p
\]
Instead, they indicate how accurately the system tracks the input after all transients die out.
Step 2: Relate error constants to steady-state error.
For a unity feedback system,
\[
e_{ss}=\frac{1}{1+K_p}
\]
for step input,
\[
e_{ss}=\frac{1}{K_v}
\]
for ramp input, and
\[
e_{ss}=\frac{1}{K_a}
\]
for parabolic input.
Thus, error constants directly measure steady-state accuracy.
Step 3: Choose the correct option.
Hence,
\[
\boxed{\text{Error constants are measures of steady-state response}}
\]
Therefore,
\[
\boxed{\text{Correct Option (C)}}
\]