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At scale (20+ tools), description verbosity costs roughly 4x more context tokens than extra parameters, making description trimming the highest-leverage optimization for large MCP servers.
The analysis surfaces retry sequences and tool-definition schema bloat as significant but non-obvious token cost drivers in MCP deployments, with concrete measurements showing retries cost 2.8x a clean call and schema overhead can reach ~10k tokens before any real work begins.
The experiment provides concrete token-count measurements showing that schema design and output pruning — not model choice — are the dominant levers for reducing MCP call costs, with output pruning alone responsible for 35–40% of total token overhead.