mnehmos.open5e.mcp
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TDQS
Scored across 18 tools
The generic retrieval tools get, list, and search have some conceptual overlap, but descriptions clarify slug-based lookup vs. type listing vs. cross-resource search. The rag_* group, contribution workflow tools, and metadata tools are clearly distinct from the core API tools.
The set mixes bare verbs (get, search, list, diff, normalize), verb_noun tools (health_check, list_documents, validate_entry, generate_pr_json), and a rag_ prefixed subgroup. The rag_* cluster is consistent, but the overall surface does not follow a single predictable convention.
At 18 tools, the server is slightly above the ideal range, but the tools are divided into three coherent clusters: core Open5e API access, contribution preparation, and RAG chatbot access. No cluster appears bloated for its purpose.
The surface covers read/search/list/batch access, document and endpoint discovery, contribution validation and normalization, PR JSON generation, and comprehensive RAG operations. Minor gaps include no direct document-content fetch and no actual PR submission tool, though generate_pr_json prepares the output.