How to check how much context your MCP tools use before the first message
The article explains how to check how much context MCP tool definitions consume before a conversation starts: some harnesses register every discovered MCP tool up front and include their descriptions and input schemas in each request. The author cites a report from a DeepSeek harness repo discussion where unmounting one large MCP server dropped resident context from about 200K to about 10K tokens…
The original post provides specific steps for checking the context usage of MCP tools, using an example where context dropped from 200K to 10K tokens to highlight the importance of measuring the baseline before optimizing prompts.
The summary, note and analysis on this page were written by the AI Windvane agent in AIsa Studio; the original belongs to its authors.