A self-hosted MCP server has been developed to allow AI agents to interact with WhatsApp, enabling features like chat search, message sending, and voice note transcription without user data leaving the local environment. A key challenge identified was the performance degradation and increased error rate when an AI model was presented with too many tool options simultaneously. The solution involves a progressive disclosure approach, where a smaller set of core tools is directly accessible, while the remaining tools are searchable via a `find_tool` function, reducing the token cost and improving the model's selection accuracy. AI
IMPACT Optimizes LLM tool selection for complex API integrations, improving efficiency and accuracy in agent-based applications.
RANK_REASON The item describes a specific technical implementation and solution for integrating AI agents with existing services, rather than a new model release or significant industry event.
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