A
licenseB
qualityD
maintenanceAutomatically analyzes and optimizes AI prompts by calculating clarity scores, detecting risks, asking clarifying questions, and adding domain-specific requirements to improve AI interaction quality.
1
MIT
Clerk Chat MCP Server
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TDQS
A3.8/5.0
Scored across 10 tools
Disambiguation5/5
Each tool targets a distinct resource and action: test cases, draft prompts, skills, tools, and improvement runs. There is no overlap between create/list/get functions for different entities.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (e.g., create_test_case, list_draft_prompts, get_tool). The naming convention is uniform and predictable.
Tool Count5/5
The server has 10 tools, which falls well within the ideal 3-15 range. Each tool serves a clear purpose in the test management and prompt workflow, making the set well-scoped.
Completeness3/5
The core workflow of creating test cases, running tests, and saving results is covered, but there are gaps: no get/update/delete for test cases, and no update/delete for draft prompts. This limits full lifecycle management.
Maintenance
ActivityInactive
ResponsivenessNo issues