T is to be an estimator for parameter theta

Sorry about the naff title, couldn't think of anything else. So this question's on a past exam paper...

*Suppose $\displaystyle T$ is to be used as an estimator for a parameter $\displaystyle \theta$. Describe five criteria you would use to judge whether $\displaystyle T$ is a good estimator of $\displaystyle \theta$.*

So I have these five criteria written down:**Unbiasedness;** or, on average, the estimator is correct.**Efficiency;** or the estimator has a small variance.**Consistency;** where larger samples give more precise estimates i.e. $\displaystyle E[T]\rightarrow\mu$ and $\displaystyle Var(T)\rightarrow0$ as $\displaystyle n\rightarrow\infty$**Robustness/resistance;** where the estimator will perform well even if the model isn't quite correct or there are outlying values in the data.**Ease of calculation;** since an estimator is more preferable if it is easy to calculate and understand.

Is that what the question's getting at?