@mcp/openverse
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TDQS
Scored across 5 tools
Most tools have distinct purposes: get_image_details, get_image_stats, get_related_images, and search_images are clearly differentiated. However, search_images and search_images_for_essay have overlapping functionality, as the latter seems like a specialized version of the former, which could cause minor confusion for an agent.
All tool names follow a consistent verb_noun pattern using snake_case (e.g., get_image_details, search_images). There are no deviations in naming conventions, making the set predictable and easy to parse.
With 5 tools, the count is well-scoped for an image search and retrieval server. Each tool serves a specific function in the domain, and there are no extraneous or redundant tools, making the set appropriately sized.
The tool surface covers core operations for image search and retrieval, including search, details, stats, and related images. A minor gap exists in lacking explicit tools for actions like filtering or advanced search parameters, but agents can likely work around this using the provided search tools.