F
licenseNot graded
qualityA
maintenanceEnables agents to analyze text strings or local files for formulaic AI writing patterns and receive numeric scores, band labels, contextual violations, and concrete advice.
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canvas-grader-mcp
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TDQS
B3.2/5.0
Scored across 17 tools
Disambiguation4/5
Most tools have clearly distinct purposes (listing vs. getting vs. staging vs. posting), and the stage/post/discard lifecycle is well separated. Minor potential confusion exists between get_submission, get_submission_images, and list_submissions, and between the two guideline tools, but descriptions disambiguate them.
Naming Consistency4/5
Nearly all tools use a consistent snake_case verb_noun pattern (list_assignments, get_submission, stage_grade, post_staged_grades). The only real deviation is whoami, which breaks the verb_noun convention but is still readable and unambiguous.
Tool Count4/5
17 tools is slightly heavy but justified by a genuine multi-stage grading workflow (courses, assignments, submissions, media, caching, staging, posting). Each tool maps to a distinct step with little redundancy.
Completeness4/5
The surface covers the full grading lifecycle: discover courses/assignments, read submissions and images, manage guidelines, stage/discard/post grades, comment, and open SpeedGrader. Minor gaps like rubric-score retrieval or bulk filtering exist but core workflows have no dead ends.
Maintenance
ActivityMaintained
ResponsivenessNo recent community issues