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jsonloupe

by priyanshuN
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Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

TDQS

A4.6/5.0

Scored across 12 tools

Disambiguation4/5

Most tools target distinct operations (load, query, checks, profile, sample, export, convert), and descriptions explicitly cross-reference alternatives. However, get_schema/inspect/profile/sample/run_query have some overlapping schema/value/statistics territory, and export_csv is a near-duplicate shortcut of export_result, so an agent must read carefully to choose.

Naming Consistency4/5

All names use snake_case and are readable, with most following verb_noun (load_doc, run_query, get_schema, export_result). Occasional single-verb/noun names (inspect, convert, profile, sample) are minor deviations but still understandable.

Tool Count5/5

12 tools is appropriate for a JSON analysis/query/conversion/export surface; each capability (load, schema, query, checks, profile, sample, export, diff, conversion) has a clear role. No excessive duplication or trivial single-tool thinness.

Completeness5/5

The surface covers loading, schema discovery, querying, validation checks, profiling, sampling, diffing, exporting, and table conversion. For an analysis-focused JSON tool, this provides complete lifecycle coverage without obvious dead ends.

Maintenance

ActivityMaintained
ResponsivenessUnresponsive

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