@0pvalencia/academic-linter-mcp
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TDQS
Scored across 3 tools
Each tool has a clear target: lint_structure processes document structure, lint_text_placeholders processes plain text, and compact_headings_view formats structure output. Some overlap exists in placeholder detection, but the different input types make the tools distinguishable.
The two linting tools follow a consistent lint_ prefix, but compact_headings_view breaks the pattern with an adjective-led name. The mixture of verb prefixes and noun phrases is readable but not fully consistent.
With 3 tools, the set is within the well-scoped range of 3-15. Each tool serves a distinct purpose and there is no redundancy, making the count appropriate for the server's niche.
The server covers structural linting and placeholder detection, but the 'academic-linter' name implies broader linting (citations, references, grammar) that is missing. The compact_headings_view utility is helpful but does not fill that gap.