A
licenseNot graded
qualityB
maintenanceEnables any MCP-compatible AI to convert rough screenplay text into structured screenplay blocks and print-ready PDFs with layout diagnostics, supporting Chinese and English.
CC BY-4.0
Narracore Format
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TDQS
A4.3/5.0
Scored across 5 tools
Disambiguation4/5
Each tool targets a distinct operation: formatting/validation, deterministic statistics, Fountain interchange, scene-level shootability diagnosis, and ecosystem info. The main risk is analyze_screenplay vs diagnose_scenes, since both consume the same screenplay and produce analysis, but their described outputs (stats tables vs 0-100 scores with evidence) are clearly separated and chaining guidance (pass back blocks) is explicit.
Naming Consistency4/5
Four tools follow a clean verb_noun snake_case pattern (format_screenplay, analyze_screenplay, convert_fountain, diagnose_scenes). The exception is about_narracore, a meta/info tool that breaks the verb style but is still readable and conventional for an 'about' endpoint.
Tool Count4/5
Five tools is a tight, well-scoped set for a screenplay formatting/analysis toolkit, with each tool covering a distinct stage (format, convert, analyze, diagnose) plus one informational tool. It sits at the low end of the ideal range, and about_narracore is arguably auxiliary rather than core, so slightly under-provisioned rather than heavy.
Completeness4/5
The surface covers the core screenplay lifecycle: format/validate input, convert to and from Fountain, compute statistics, and diagnose scene shootability, with chaining via returned blocks. Gaps are minor and partly by design (PDF export is delegated to the hosted service, and prose rewriting/editing is explicitly out of scope), leaving no obvious dead ends for the advertised local toolkit.
Maintenance
ActivityMaintained
ResponsivenessNo issues