A
licenseNot graded
qualityD
maintenanceEnables AI to autonomously search, filter, and download images from the web using natural language commands, with intelligent scoring and local storage.
MIT
reference-search-mcp
by naer-lily
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TDQS
A4/5.0
Scored across 4 tools
Disambiguation5/5
Each tool has a unique and clearly defined role: start initializes a search, iterate refines it with feedback, collect downloads selected results, and status reports the current state. No two tools overlap in purpose.
Naming Consistency5/5
All tools follow the exact same `image_search_<verb>` pattern, with verbs that accurately describe the action (start, iterate, collect, status). The naming is uniformly styled and predictable.
Tool Count5/5
Four tools is perfectly scoped for an iterative image search workflow. Each tool covers a necessary step without redundancy, making the set concise and well-balanced.
Completeness5/5
The tools cover the full lifecycle: initiating a search, refining it through feedback, collecting final results, and monitoring progress. No obvious gaps exist for the intended use case, as the start tool integrates search and multimodal filtering.
Maintenance
ActivityMaintained
ResponsivenessNo issues