A
licenseNot graded
qualityC
maintenanceEnables AI agents to access observability and evaluation data, including run history, span traces, LLM-as-judge evaluation results, and regression reports.
MIT
freeplay-mcp
Officialby freeplayai
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TDQS
A4.3/5.0
Scored across 9 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: creating prompt versions, analyzing logging issues, retrieving deployment info, fetching specific versions, listing insights, projects, and templates, optimizing prompts, and searching observability data. No overlap in functionality.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern (e.g., create_prompt_version, list_projects, search). Verbs like 'get', 'list', 'find', 'create', and 'search' are used consistently, and the naming is predictable and readable.
Tool Count5/5
Nine tools is an appropriate scope for a prompt management and observability server. It covers the core workflows without being too sparse or overwhelmingly large.
Completeness4/5
The tool set covers essential CRUD-like operations (create, read) and search/analysis, but lacks delete operations for versions or templates. The missing delete is a minor gap, as most workflows are supported.
Maintenance
ActivityMaintained
ResponsivenessNo issues