A developer discovered that their AI agent, Claude Code, was consuming a significant number of tokens (8,248) before any user input, due to the large JSON schema definitions for its 48 tools being sent with every request. This token usage was impacting the model's context window and leading to perceived forgetfulness. By using a tool called mcptoon to simplify and compact these schemas, the token count was reduced by 49% to 4,192 tokens, resolving the issue without affecting the agent's functionality. AI
IMPACT Optimizing tool manifest schemas can significantly reduce token consumption and improve AI agent efficiency.
RANK_REASON Developer shares a specific optimization technique for an AI agent's tool manifest.
- Claude Code
- CLAUDE.md
- Fetch
- fsops
- Git
- MCP
- mcptoon
- memory
- scheduler
- Search
- SQLite
- tiktoken
- translator
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