Improving Data Retrieval for Intercom Conversation Sentiment Analysis

Hello here, I am working on a agent that analyzes Intercom conversations (which is our customer support platform) through the Intercom integration. My goal is to perform sentiment analysis on issues perception from clients to evaluate urgency, so we can enhance how we prioritize and schedule fixes. The results are promising and accurate but I have an issue of limited retrieval of data sources preventing me from conducting thorough analysis (cf. screenshots). I tried several models (gemini, mistral, gpt*, etc.) but got the same behaviour. Is there a workaround to enable fetching more data to the context ? Am I doing something wrong ? Tips or guidelines are welcome Thanks! Note: we are on the Dust Pro tier.