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This paper investigates when hybrid computer-use agents actually choose to use MCP tools versus screenshots, finding that tool availability alone does not guarantee adoption: a reasoning model improves while a non-reasoning model degrades. It also explores training and context compression strategies to close the adoption gap and reduce token costs.