A
licenseNot graded
qualityC
maintenanceMCP server exposing the full text of Sutton & Barto's Reinforcement Learning book, enabling LLMs to search, retrieve pages, and read chapters.
MIT
textbook-agent-mcp
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TDQS
A3.6/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a clear, distinct purpose: get_toc for the table of contents, get_page for page content, list_exercises for filtering exercises, and get_exercise for full exercise details. No overlap in functionality.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (get_toc, get_page, list_exercises, get_exercise) using underscores, which is predictable and clear.
Tool Count4/5
With 4 tools, the count is small but appropriate for a textbook agent focused on content navigation and exercise management. It covers the essential operations without being overly minimal.
Completeness4/5
The set covers core textbook interactions—table of contents, page viewing, exercise listing, and exercise details with history. Minor gaps like full-text search or annotation are missing but not critical for the stated purpose.
Maintenance
ActivityStale
ResponsivenessNo issues