The TREC Real-Time Summarization (RTS) track provides a framework for evaluating systems monitoring the Twitter stream and pushing tweets to users according to given profiles. It includes metrics, files, settings and hypothesis provided by the organizers. In this work, we perform a thorough analysis of each component of the framework used for batch evaluation of scenario A in 2016 and 2017. We found some weaknesses of the metrics and took advantage of these limitations to submit our official run in the 2017 edition. The good evaluation results validate our findings. This paper also gives clear recommendations to fairly reuse the collection.