image-tools-mcp
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TDQS
Scored across 2 tools
The two tools have overlapping purposes—both retrieve image sizes—with only the source (URL vs. local) differing. This creates ambiguity as an agent might misselect between them if the input context is unclear, such as when 'image' could refer to either type. The descriptions help slightly by specifying the source, but the core functionality is identical, leading to potential confusion.
The tool names follow a consistent verb_noun pattern with 'get_image_size' and 'get_local_image_size', both using snake_case and starting with 'get'. This predictability makes it easy for an agent to understand the naming convention and infer tool purposes without deviation or mixed styles.
With only 2 tools, the server feels thin and under-scoped for an 'image-tools' domain, which typically implies a broader set of operations like resizing, converting, or analyzing images. The limited count suggests incomplete coverage, as basic image manipulation tasks beyond size retrieval are missing, making it inadequate for comprehensive image handling.
The tool set is severely incomplete for an image processing domain, covering only size retrieval from two sources. There are significant gaps in common operations such as resizing, cropping, format conversion, or metadata extraction, which will likely cause agent failures when attempting typical image-related tasks. The surface lacks core functionality needed for a coherent image tools server.