A team has deployed a multi-agent system where a primary agent breaks down user requests and assigns subtasks to three specialized subagents: one for data retrieval, one for analysis, and one for report generation. In production, the team finds that subagents make redundant tool calls, sometimes exceed token budgets, and occasionally produce contradictory outputs—all of which the primary agent forwards without detecting. What is the most appropriate way to resolve these failures?
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