media-mcp
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TDQS
Scored across 13 tools
Each tool has a clearly distinct purpose with no ambiguity. Tools like apply_filter, compress_image, convert_image, and resize_image all perform different operations on images, while tools like convert_video and extract_frames handle video-specific tasks. The separation between image and video operations is clear, and even similar-sounding tools like crop_image and resize_image have distinct functions.
All tools follow a consistent verb_noun naming pattern with snake_case throughout. The verbs are descriptive and appropriate for each operation (e.g., apply_filter, compress_image, convert_video, extract_frames). There are no deviations in naming conventions, making the tool set predictable and easy to understand.
With 13 tools, this server is well-scoped for media processing, covering both image and video operations. Each tool serves a specific, useful function without redundancy. The count is appropriate for the domain, providing comprehensive coverage without being overwhelming or too sparse.
The tool set offers complete coverage for basic media processing tasks, including filtering, compression, conversion, cropping, resizing, rotation, metadata handling, and information retrieval for both images and videos. There are no obvious gaps; agents can perform a full range of operations from input to output without dead ends.