Cookieless web analytics your coding agent reads: traffic answers, deploy impact, what broke.
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Scored across 15 tools
Most tools target clearly distinct resources or analytic questions: site CRUD, annotation handling, overviews, funnels, journeys, and diagnostic checks are separated. A few tools like get_overview, query, and what_changed could overlap when asking 'what happened', but their descriptions differentiate the intended use well.
The CRUD tools follow a clean verb_noun pattern (create_site, delete_site, list_sites, update_site_context), but analysis tools mix bare nouns (funnel, journeys), bare verbs (query), adverb-verb compounds (compare_around), and what_* question phrases (what_broke, what_changed). Naming is readable and snake_case is consistent, but the overall convention is not uniform.
15 tools is within the well-scoped range and each tool earns its place: site management, annotation tracking, traffic overview, discovery, diagnostics, and comparison all have dedicated tools. There is no obvious redundancy or padding.
The surface covers the core domain well: sites can be created, listed, deleted, and contextualized; annotations can be recorded and listed; analytics support overview, breakdown, funnel, journey, and anomaly questions. Minor gaps exist such as no update/delete for annotations and no single-site getter separate from list_sites, but agents can work around these.
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
compare_aroundcreate_sitedelete_sitefunnelget_overviewget_site_contextjourneyslist_annotationslist_sitesportfolio_overviewqueryrecord_annotationupdate_site_contextwhat_brokewhat_changedCookieless web analytics your AI agent can read: traffic, spikes and what caused them, funnels.
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