fusion-query-mcp
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TDQS
Scored across 40 tools
Most tools have crisp distinct purposes, and the domain prefixes (docs_, api_, soap_) in names do real disambiguation work. However, there are several deliberate parallel pairs — live vs docs-snapshot describe/search, run_query vs adhoc_query vs run_report, validate_report vs validate_query — whose boundaries are only clear after reading the lengthy descriptions, so a skimming agent could easily pick the wrong query or validation path.
The set overwhelmingly follows fusion_<verb>_<noun> (or fusion_<module>_<verb>_<noun> for docs_/api_/soap_), which is a strong, predictable convention across 40 tools. A few outliers break the verb-first shape — fusion_health_check, fusion_adhoc_query, fusion_bootstrap — but they remain readable and do not undermine the overall pattern.
40 tools is heavy and exceeds the comfortable band, though the count reflects a genuinely broad scope: SQL, BI reports, REST, SOAP, ESS/FBDI, approvals, pods, and docs each form their own cluster. The live-vs-docs-snapshot duplications and the three overlapping query execution paths inflate the number without adding new capability, making the surface larger than it needs to be.
The surface covers the full lifecycle across channels: schema exploration, query execution (report, ad-hoc, free-SQL), validation with fixtures, guarded write actions (REST, SOAP, ESS, FBDI), monitoring (job status/log, health check), and repair (bootstrap, interface-data correction). Minor gaps exist — no fixture deletion, no report deletion, no direct REST record GET by ID, no job cancellation — but all are workable around or explained as inherent constraints.