Operating under the interpretation of the problem that a maximum of two rolls can occur we have the possible outcomes: $\{(1,1), (1,2), (1,3), (1,4), (2,1), (2,2), (2,3), (2,4), (3), (4)\}$.
That is to say, we roll the die the first time. In the event that the first die's result is a $3$ or $4$, we stop rolling immediately. In the event that the first die's result is a $1$ or $2$, we roll the die a single additional time. (No more rolls occur regardless what the result of the second die is.)
The probability of arriving at the outcome $(3)$ is simply $\frac{1}{4}$, similarly the probability of arriving at the outcome of $(4)$ is also $\frac{1}{4}$. The probability of each of the rest of the outcomes, for example $(1,1)$ is $\frac{1}{4}\cdot \frac{1}{4}=\frac{1}{16}$.
The first part of the question asks us what the probability the total sum of the die result(s) is $3$ (not the total number of throws), this corresponds to the outcomes $(1,2),(2,1)$ and $(3)$. Since these outcomes are mutually exclusive to one another, we can add their respective probabilities, resulting in a total of $\frac{1}{16}+\frac{1}{16}+\frac{1}{4}=\frac{3}{8}$
The second part of the question asks us to find the conditional probability that the first die result was a $1$ given the total of the die or dice rolled was $3$. Approaching via Bayes' Theorem:
Let $A$ be the event that the first die result was a $1$ and $B$ the event that the total was $3$
$P(A\mid B)=\frac{P(A)P(B\mid A)}{P(B)}$
We calculated $P(B)$ in the first part of the question to be $\frac{3}{8}$. $P(A)$ is known to be $\frac{1}{4}$ since the die is fair. $P(B\mid A)$ is also going to be $\frac{1}{4}$ since given that the first die result is a $1$, the only unknown is what the result of the second die is and it would need to be a two to have the correct sum which occurs with probability $\frac{1}{4}$.
We have then $P(A\mid B)=\frac{\frac{1}{4}\cdot \frac{1}{4}}{\frac{3}{8}}=\frac{1}{6}$
Another different interpretation of the problem: there are an unlimited number of rolls. If we roll a $1$ or a $2$ we roll again (regardless how many rolls we have already done), and if we roll a $3$ or a $4$ we stop.
The question of finding the probability of having rolled a total of three times (where we don't care what numbers on the faces are or what they add up to, just how many rolls happened until we were told to stop) we are indeed then looking for the probability the first two rolls were low and the third roll was high. This appears to be what you interpreted the problem to be (though I disagree with this interpretation due to the phrasing "the total of the rolls" instead of "the total number of rolls").
Here, let $L_i$ be the event the $i$'th roll (if it occurred) was low (a $1$ or a $2$) while $H_i$ be the event that the $i$'th roll (if it occurred) was high.
We are looking then for $Pr(L_1\cap L_2\cap H_3)$ which by multiplication principle is $Pr(L_1)Pr(L_2\mid L_1)Pr(H_3\mid L_1\cap L_2)$ which by the assumption the die is fair and the results of any rolls that occur are independent gives us a result of $\frac{1}{2}\cdot \frac{1}{2}\cdot \frac{1}{2}=\frac{1}{8}$
For the second part of the problem, the probability that the first roll was a $1$ given that there were a total of three rolls that occurred, your intuition is correct and the probability is $\frac{1}{2}$.