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Scored across 6 tools
Each tool occupies a fairly clear niche: list_todos (flat listing), stale_todos (liveness-split listing), debt_summary (aggregate overview), todo_history (single-marker forensics), hotspot_debt (debt×churn), and large_files_and_complexity (non-git heuristics). The main risk is list_todos vs stale_todos vs debt_summary, which all report marker counts and could be confused, though the detailed descriptions do enough to separate them.
All names are snake_case and descriptive, which keeps things readable. However, the conventions are mixed: only list_todos follows a verb_noun pattern, while the rest are noun phrases (debt_summary, todo_history, hotspot_debt) or adjective-led (stale_todos, large_files_and_complexity).
Six tools is well within the sweet spot, and each one covers a distinct analysis angle (listing, staleness, aggregation, history, churn correlation, non-git signals). No tool feels redundant or like filler.
Coverage of the debt-analysis domain is strong: detection, aging, ownership, trend, hotspots, and non-git complexity signals are all present, and the surface is read-only by design so no CRUD gaps matter. Minor gaps remain, such as diff/PR-scoped debt detection or exporting a report, but agents can work around these by combining tools.