folio
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TDQS
Scored across 16 tools
Most tools are clearly distinct, and descriptions actively disambiguate near-neighbors by naming the alternative ('for what changed of what the reader read use folio_changes, and for one document's versions folio_history'). There are nonetheless two overlapping clusters — folio_changes/folio_digest/folio_history/folio_reads (what changed or was read) and folio_health/folio_needs/folio_stale (what is wrong or needs attention) — plus folio_query vs folio_embed, which an agent must read closely to separate.
Every tool uses the identical folio_ prefix followed by a single lowercase noun, with no camelCase or verb-style outliers anywhere in the set. The pattern is fully predictable, so an agent can reliably guess and remember names.
At 16 tools the surface sits just above the comfortable range, but the domain is genuinely broad (reading state, provenance, embeddings, health, history, digests, impact analysis) and each tool maps to a distinct capability rather than a variant of another. A couple of the analysis tools could plausibly be folded together, but nothing is filler.
The read/analysis lifecycle is well covered: discovery, per-document structure, provenance, data querying, semantic relations, health, change tracking, history, and impact analysis before edits. The notable gap is that there are no mutation tools at all — no create/update/move — so writing is left to external file editing, which the descriptions implicitly assume ('use it after editing documents').