unofficial-trackjs-mcp
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TDQS
Scored across 8 tools
Each tool targets a distinct aggregation dimension (individual errors, by message, by URL, by day, by hour, page views, usage), and descriptions explicitly state when to prefer one over another (e.g. top_messages before list_errors). The main potential confusion is between the parallel day/hour variants and between page_views_by_hour and usage_by_hour, but the granularity/scope wording keeps them distinguishable.
Six of eight tools follow a clean resource_by_dimension pattern (errors_by_url, errors_by_day, page_views_by_hour, usage_by_hour). Two outliers use verb-first naming (list_errors, top_messages) which is readable and arguably intentional for 'list raw items' vs 'aggregate', but breaks strict uniformity.
Eight tools is well-scoped for an error-analytics server; each tool covers a distinct report shape (raw errors, groupings, time series, traffic, account usage) with no redundant entries.
The read-oriented analytics surface is solid (individual errors, groupings, daily/hourly trends, traffic for error-rate math), but triage status is only ever read, never updated, and there are no breakdowns by browser, release, or application despite such data being present in error records. Agents can answer 'what is breaking' questions but cannot manage or slice errors beyond URL/time.