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shadow-vision

by WardLu
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Python
Hybrid

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    Shareable, User-Owned Context BackendPeople, applications, and agents read, write, and coordinate together in one context lake. Reach it over MCP, a CLI, a Python SDK, or REST.fulcradynamics.comAd

    TDQS

    B3.4/5.0

    Scored across 6 tools

    Disambiguation4/5

    Each tool targets a distinct output modality: description, annotations, OCR text, layout JSON, code reconstruction, and multi-image comparison. Some boundary blur exists between vision_inspect (general description, which may incidentally read text) and vision_ocr, and between vision_layout and vision_reconstruct, but the descriptions clarify the intended scope of each.

    Naming Consistency5/5

    All six tools follow a strict vision_<verb> snake_case pattern (inspect, annotate, ocr, layout, reconstruct, compare). The convention is predictable and readable throughout.

    Tool Count5/5

    Six tools is well-scoped for a vision-analysis server, with each tool earning its place by covering a distinct capability. No redundant or filler tools are present.

    Completeness4/5

    The surface covers the major analysis workflows: description, OCR, annotation detection, layout parsing, code reconstruction, and multi-image comparison. Minor gaps like detecting/returning bounding boxes or image generation/editing exist, but they are outside the apparent analysis-focused purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

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