Extract-Image
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TDQS
Scored across 3 tools
Each tool has a clearly distinct purpose based on the input source: base64-encoded data, local file paths, and web URLs. The descriptions reinforce this by specifying unique use cases (e.g., clipboard screenshots, local files, web images), leaving no ambiguity for an agent to misselect tools.
All tool names follow a consistent verb_noun_from_source pattern (extract_image_from_base64, extract_image_from_file, extract_image_from_url), using snake_case throughout. This predictability makes it easy for agents to understand and navigate the tool set.
With 3 tools, the server is well-scoped for its purpose of extracting images from different sources. Each tool earns its place by covering distinct input methods (base64, file, URL), avoiding redundancy while ensuring comprehensive coverage for the domain.
The tool set provides complete coverage for extracting images from all common sources: base64 data, local files, and URLs. There are no obvious gaps, as these cover the primary ways images are accessed in applications, web contexts, and file systems, enabling agents to handle a wide range of scenarios without dead ends.