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Scored across 4 tools
Each tool has a clearly distinct purpose: detect-all-objects performs general object detection, detect-human-pose-keypoints focuses on human pose analysis, detect-objects-by-text enables text-guided detection, and visualize-detection-result handles visualization. There is no overlap in functionality, making tool selection straightforward for an agent.
All tool names follow a consistent verb_noun pattern with hyphens (e.g., detect-all-objects, detect-human-pose-keypoints). The naming is predictable and readable throughout, with no deviations in style or convention.
With 4 tools, the server is well-scoped for image detection tasks. Each tool earns its place by covering distinct aspects: detection (general, pose-specific, text-guided) and visualization, avoiding bloat while providing essential functionality.
The tool set covers core detection workflows (general, pose, text-guided) and visualization, with no obvious dead ends. A minor gap exists in lacking tools for modifying or deleting detection results, but agents can work around this by re-running detections or handling data externally.