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Scored across 37 tools
Most core resources and actions are distinct, but several clusters overlap: request_action_consent vs request_ui_consent, multiple extension/session/setup tools, and AI-assisted vs manual creation/grading. The detailed descriptions help, but an agent must read carefully to avoid misselection.
The set is mostly consistent snake_case with verb_noun patterns such as list_homeworks, create_bulletin, and delete_exam. Exceptions like package_download_homework, ai_* prefixes, and long multi-verb setup names are readable but slightly break the pattern.
With 37 tools, the server is heavily loaded with specialized helpers, setup checks, consent flows, AI tools, and CRUD variants. Many tools are individually useful, but the overall surface is too large for a single coherent MCP toolset.
Coverage is broad across courses, homework, exams, bulletins, grading, consent, and downloads, but notable lifecycle gaps remain. There is no update_homework, update_bulletin, delete_bulletin, and exams lack a normal create/update path outside copy_exam.