We test whether financial LLM agents respond differently to reports with identical facts, forecasts and recommendations but different wording. The reports differ only in a closing sentence stating the sender’s affect. The most consistent finding is linguistic: high-arousal wording increases readers’ word-based arousal scores on average and also changes teammates’ language. The response varies across rolespecific task instructions, although its magnitude and ordering change across prompt paraphrases, scoring methods, word-removal controls and model families. The central role comparison contains 7,080 generations, but all concern one underlying deposit-outflow event; the 59 matched pairs are seeded realizations of the same financial payload rather than independent financial situations. Separately varying alarm and urgency shows that both raise word-based arousal, while alarmed wording adds an apprehension component detected by an emotion classifier. Behavioral effects are less consistent: in the primary model, alarmed wording reduces adherence to BUY and SELL recommendations, but the SELL reported-size effect is not detected in two additional model families. A filter that removes explicit alarm while preserving checked financial fields leaves most of the linguistic response intact.