A
licenseNot graded
qualityC
maintenanceEnables MCP-capable agents to generate and edit images through Gemini or OpenAI, returning an absolute file path instead of image bytes to keep context windows clean.
MIT
VisionToolMCP
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TDQS
A3.5/5.0
Scored across 4 tools
Disambiguation5/5
Each tool targets a distinct capability: answering specific questions, comparing two images, describing content, and extracting text. There is no overlap in their purposes.
Naming Consistency4/5
All tools use snake_case with verb-first pattern (answer, compare, describe, ocr). However, 'answer_about_image' uses a preposition while others directly combine verb and noun, a minor inconsistency.
Tool Count5/5
Four tools is appropriate for a focused vision server providing core image understanding capabilities. Not too few or too many.
Completeness4/5
Covers key image interpretation needs: description, comparison, OCR, and question answering. Missing potential features like object detection or image generation, but the set is reasonably complete for its stated purpose of supporting text-only agents.
Maintenance
ActivityMaintained
ResponsivenessNo issues