A developer has identified two significant sources of token consumption in AI agent contexts: tool schemas and agent skills. The first bill, related to tool schemas, can consume over 71,000 tokens for a catalog of 255 tools, with schemas being re-sent on every turn. The second, often overlooked bill, involves agent skills, where loading entire SKILL.md files can amount to over 1.1 million tokens. The proposed solution for both issues is to initially expose only the names of tools and skills, fetching their full content on demand, which drastically reduces token usage. AI
IMPACT Optimizes AI agent performance by reducing token consumption, potentially lowering costs and improving response times.
RANK_REASON The item discusses a technical optimization for AI agent context window management, rather than a new model release, research paper, or significant industry event.
AI-generated summary · Google Gemini · from 1 sources. How we write summaries →