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One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

A3.8/5.0

Scored across 14 tools

Disambiguation4/5

The set forms a clear hierarchy (list_databases → list_tables → describe_table → query) and the analysis tools (check, history, compare, get_finding) are well separated. Two minor overlaps remain: get_finding vs explain_rule both return 'detail of a rule' (instance evidence vs rule definition), and check vs recording_report both produce analyses, though the descriptions do distinguish them.

Naming Consistency3/5

A majority use verb_noun (list_tables, describe_table, explain_rule, get_finding, record_command), giving a recognizable pattern. But single bare words (check, compare, query, history) and a noun_noun (recording_report) break it, making it mixed though still readable.

Tool Count5/5

14 tools is squarely in the well-scoped range, and each maps to a distinct step in the DB health-check workflow (discover, inspect, query, check, review, record). Nothing appears redundant or padding.

Completeness4/5

Covers schema exploration, read-only querying, rule catalog, health checks, run history/compare, and recordings — a full read/analyze lifecycle. Minor gaps: no profile create/edit/delete (presumably managed in the app) and no rule search/filter, but agents can work around these.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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