Making Agentic Tool Usage 91% More Efficient: With JSON Response Filtering

Author(s): AI Rabbit

Originally published on Towards AI.

Making Agentic Tool Usage 91% More Efficient: With JSON Response Filtering

Agentic systems call tools. Those tools return giant JSON blobs designed for booking engines, dashboards, or backend services — not for LLMs. The model usually needs a few fields; it still has to read everything.

The article discusses the inefficiencies inherent in traditional flight search APIs when utilized by agents, with an emphasis on the excessive data returned that is typically unnecessary for specific queries. It proposes a solution involving client-side dynamic response filtering using JSONPath to allow agents to specify needed data fields. This approach minimizes token usage and improves efficiency, enabling agents to focus on the relevant information while maintaining the integrity of upstream APIs and tools.

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Published via Towards AI