amazon-ads-mcp
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TDQS
Scored across 16 tools
Each tool serves a clear function: list/get for reads, plan_* for building changes, apply for execution, run_report for analytics, and history/bids/operations for specific lookups. The two suggested-bid tools are explicitly separated by 'existing' vs 'new', and the plan tools are distinct despite sharing a prefix.
Most tools follow a verb_noun pattern (list_profiles, get_change_history, run_report, apply_plan), but the plan-building tools invert it (plan_update, plan_create, plan_archive, plan_restore_from_history) and api_notes is a bare noun. The mixed conventions are still readable, but the inconsistency is noticeable across a subset of tools.
16 tools is slightly above the typical 3-15 range, but the Amazon Ads domain is broad enough to warrant the extra surface. The plan sub-system uses 7 tools, yet each covers a distinct phase of the plan lifecycle, and the remaining tools handle entities, bids, history, reports, and API introspection.
The set covers the core workflows: listing profiles/entities, checking bids, viewing change history, running reports, and mutating state through a well-designed plan system (create, update, archive, restore, apply). Minor gaps like a dedicated single-entity getter or direct write operations are handled reasonably through list filtering and the plan-based write path.