honest-cv
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TDQS
Scored across 31 tools
Despite 31 tools, the descriptions carefully staked out distinct boundaries (singular set_skill vs plural set_skills vs checklist_apply; build_cv vs build_letter vs export_json_resume vs linkedin_profile; score_job vs gap_report vs check_claims). A few clusters are dense—upsert_role/remove_role, remove_bullet/remove_role, and the several output builders—but the cross-references ('use X instead') keep them distinguishable.
Predominantly consistent snake_case verb_noun (get_inventory, set_skill, upsert_role, add_bullet, build_cv, score_job). Minor deviations: a few noun-first names (checklist_list, checklist_new, checklist_apply, linkedin_profile, interview_prep, gap_report) break the otherwise uniform verb-first pattern.
31 tools is well above the 16-25 heavy threshold and feels over-decomposed for a CV/profile domain. Removing a role/bullet/skill/publication are each their own tool, and multiple near-parallel setters (set_skill/set_skills/set_contact/set_profile_details) inflate the surface beyond what the task needs.
Coverage is broad: profile lifecycle, import, skills, roles, bullets, education, publications, contact, variants, CV/letter rendering, PDF verification, applications, interview prep, job scoring and gap analysis. Minor gaps exist (no explicit remove_variant or remove_education), but core workflows have no dead ends.