A
licenseA
qualityB
maintenanceQuery PostgreSQL and inspect schemas over MCP. Connects to local, Docker, RDS, Neon, Supabase, or a database behind an SSH bastion.
5
983 npm
23
MIT
AgentKit
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TDQS
A3.7/5.0
Scored across 9 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: retraction vs. annotation vs. querying KPIs vs. health scoring vs. anomaly detection vs. forecasting vs. listing metrics vs. executive summary. No two tools overlap in function.
Naming Consistency4/5
Consistent verb_noun convention (retract_annotation, query_kpis, get_company_health, detect_kpi_anomalies, forecast_metric, list_available_metrics, get_executive_summary, list_annotations, annotate_metric). The verb 'get' vs 'list' vs 'annotate' vs 'retract' is used appropriately based on action type, though 'get_executive_summary' could arguably be 'generate' but it's a read operation.
Tool Count5/5
9 tools is well within the ideal 3-15 range. The set covers discovery, analysis, forecasting, annotation management, and executive summary without redundancy or bloat.
Completeness4/5
The tool surface covers the full lifecycle for KPI analysis (discovery, query, anomaly detection, forecasting, health scoring, annotations with retraction). However, there is no direct tool for creating or updating KPI metrics themselves (e.g., defining new metrics or modifying existing ones), which may be needed for a governed store. Also, no tool for listing all domains or periods beyond the discovery tool, but that is covered by list_available_metrics.
Maintenance
ActivityActive
ResponsivenessWithin a week