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dropspot3d.vercel.app

dropspot3d.vercel.app

live Unverified (seed import) Productivity & Business 7 tools imperative implementation

DropSpot3D

First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com

Answer 2 · Act 5 · Transact 0 · Score: Not yet scored

Tool inspector

log_defect

act imperative

Place a defect tag at an exact 3D point on the car model - this is the SAME action a human performs by dragging a tag onto the hologram; it triggers the same crosshair-sweep-and-drop animation. Prefer the `zone` parameter (a named location on the car) over guessing raw x/y/z - known zones and their approximate coordinates: front_bumper=(4.12,0.3,0.89), hood=(3.6,0.43,0.89), windshield=(2.6,0.82,0.89), roof=(1.6,1.05,0.89), rear_windshield=(0.85,0.77,0.89), trunk=(0.4,0.43,0.89), rear_bumper=(0.12,0.26,0.89), left_front_door=(2.4,0.43,1.73), left_rear_door=(1.35,0.43,1.73), right_front_door=(2.4,0.43,0.05), right_rear_door=(1.35,0.43,0.05), left_front_fender=(3.2,0.36,1.64), right_front_fender=(3.2,0.36,0.14), left_headlight=(3.98,0.41,1.45), right_headlight=(3.98,0.41,0.33), left_mirror=(2.7,0.73,1.78), right_mirror=(2.7,0.73,0). Only pass raw x/y/z (call get_product_diagram first to learn the bounding box) if the defect is between zones or none of the named zones fit. Choose severity by asking: does this defect affect FUNCTION or safety (high), is it APPEARANCE-only (low), or is it borderline/unclear (medium)? If you cannot tell what the defect actually is from the description, use defect_type "unknown" and leave severity unset - a human will classify it, or call suggest_classification once you have more information. If the inspection note included a photo URL you looked at to identify this defect, pass that exact URL as `photo_url` - it gets stored with the defect and shown to the human reviewing it, so they see the real photo, not just your description of it.

Input schema

PropertyTypeRequiredDescription
product_id string yes —
zone string no A named location on the car - preferred over raw coordinates.
x number no World x (front-back) - only if not using `zone`.
y number no World y (up-down) - only if not using `zone`.
z number no World z (left-right) - only if not using `zone`.
defect_type string yes —
severity string no —
note string no Optional free-text note, e.g. quoting the inspection note.
photo_url string no URL of the real defect photo, if one was given to you.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "product_id": {
      "type": "string"
    },
    "zone": {
      "type": "string",
      "enum": [
        "front_bumper",
        "hood",
        "windshield",
        "roof",
        "rear_windshield",
        "trunk",
        "rear_bumper",
        "left_front_door",
        "left_rear_door",
        "right_front_door",
        "right_rear_door",
        "left_front_fender",
        "right_front_fender",
        "left_headlight",
        "right_headlight",
        "left_mirror",
        "right_mirror"
      ],
      "description": "A named location on the car - preferred over raw coordinates."
    },
    "x": {
      "type": "number",
      "description": "World x (front-back) - only if not using `zone`."
    },
    "y": {
      "type": "number",
      "description": "World y (up-down) - only if not using `zone`."
    },
    "z": {
      "type": "number",
      "description": "World z (left-right) - only if not using `zone`."
    },
    "defect_type": {
      "type": "string",
      "enum": [
        "scratch",
        "dent",
        "paint_defect",
        "misalignment",
        "crack",
        "missing_part",
        "unknown"
      ]
    },
    "severity": {
      "type": "string",
      "enum": [
        "low",
        "med",
        "high"
      ]
    },
    "note": {
      "type": "string",
      "description": "Optional free-text note, e.g. quoting the inspection note."
    },
    "photo_url": {
      "type": "string",
      "description": "URL of the real defect photo, if one was given to you."
    }
  },
  "required": [
    "product_id",
    "defect_type"
  ]
}

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