jianying-ai-mcp
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TDQS
Scored across 5 tools
Most tools have clear, distinct purposes: capability discovery, analysis, single build, batch build, and reference-based build. However, analyze_reference_draft and build_from_reference both involve reference drafts and could be confused in some workflows, though descriptions clarify their different roles.
Tool names are snake_case and mostly descriptive, but the pattern is inconsistent. 'get_', 'analyze_', and 'build_' are clear verbs, while 'batch_from_template' lacks a strong verb prefix, and 'build_from_reference' introduces a prepositional modifier absent in 'build_draft'.
With 5 tools, the server is well-scoped for its purpose of generating Jianying drafts through various methods. Each tool addresses a distinct need without redundancy or excessive breadth, fitting comfortably within the ideal 3-15 range.
The tool set covers the core workflow of understanding capabilities, analyzing references, and building drafts from manifests, templates, or references. Minor gaps exist such as no explicit tool for updating or deleting existing drafts, but these are likely outside the server's intended generation-focused scope.