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WSC - Writing Style Checker

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Alternatives to WSC - Writing Style Checker

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    Scores prose from inline text or files on a 0–100 scale for formulaic AI writing patterns using rule-based heuristics, with no LLM judge or API calls. Returns band labels, specific violations with context, penalty breakdowns, and concrete advice for each hit, so agents can flag and revise sloppy generated text.
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  • F
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    Analyzes text and files for formulaic AI writing patterns, returning a 0-100 score, band label, specific violations with context, and concrete revision advice. Runs entirely locally with rule-based heuristics, requiring no LLM judge or API calls.
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    Bilingual (EN/ES) AI-writing detection that shows the evidence instead of a percentage: named tells with line and column, hidden-character inspection, and citation cross-checking against a document's own bibliography. Seven of its nine tools run entirely locally and never touch the network.
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TDQS

A4.7/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: check_file vs check_text differ by input source, fix_duplicates is for fixing a specific issue, and list_word_lists provides reference data. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern in snake_case (check_file, check_text, fix_duplicates, list_word_lists), making the API predictable.

Tool Count5/5

With 4 tools, the server is well-scoped for a writing style checker: two input methods for analysis, one fix action, and one list action. Not overly sparse or heavy.

Completeness4/5

The tool surface covers core checking and duplicate removal, but lacks auto-fix for other issue types (e.g., weasel words, passive voice). Users must manually edit text after reports, which is a minor gap.

Maintenance

ActivityMaintained
ResponsivenessSlow