Marginal tool utility and tool efficiency measure whether individual tool calls improve an agent's probability of solving the task. Removing noisy tools preserved accuracy while doubling efficiency.
We reran the RCA benchmark with Claude Code on Fable 5.1. It improved in every tool setup, and Foam MCP took it from 63.6% to 86.4%.
How Drain3 streaming template mining compares to Sentry fingerprinting across 11 production environments.
Evidence, causes, and a path forward for grouping, prioritization, configuration decay, alert noise, and AI-generated fixes.
A benchmark for the question every debugging agent should answer: what caused the production failure? Evaluated on root cause analysis from telemetry, not log summarization.