floor-plan-pink.vercel.app WebMCP Tools, Schemas & Agent Capabilities

floor-plan-pink.vercel.app

live Unverified (seed import) AI & Agents 11 tools imperative implementation

A shared conceptual floor-planning workspace where humans draw directly on the canvas and agents work the same plans through semantic WebMCP tools.

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

Answer 2 · Act 9 · Transact 0 · Score: Not yet scored

Tool inspector

optimize_floorplan

act imperative

Improve an existing floor plan against explicit goals such as "larger living room", "less circulation waste", "more natural light", "more storage", "better bedroom privacy", "improve accessibility" or "preserve garden space", while honouring constraints such as "keep 2 bedrooms" or "keep 1 bathroom". Works on a plan the human drew by hand as well as on a generated one — the room program is read back out of the plan's own geometry, so no stored brief is needed. Returns before and after scores plus a change list derived by comparing the two geometries. Default outputMode "append" places the optimised layout below the original so the before/after comparison is visible; use "replace" to improve the plan in place.

Input schema

Property	Type	Required	Description
`planId`	string	no	Id of the target plan, from get_project_state. Also accepts a plan name ("AI Option B"), or "active" for the current working plan. Omit to use the active plan.
`goals`	array	yes	What to improve, in the user's words. Recognised themes: larger living area, bedroom privacy, more daylight, less circulation waste, more storage, better room adjacency, improved accessibility, preserve garden space, space efficiency.
`constraints`	array	no	What must not change, e.g. ["keep 2 bedrooms", "keep 1 bathroom", "keep the garden"]. Room counts and features are parsed out and held fixed.
`outputMode`	string	no	"append" adds a new plan below the existing ones so the human can compare before and after — this is the recommended default. "replace" overwrites the target plan in place and increments its version.

Raw JSON schema

{
  "type": "object",
  "properties": {
    "planId": {
      "type": "string",
      "description": "Id of the target plan, from get_project_state. Also accepts a plan name (\"AI Option B\"), or \"active\" for the current working plan. Omit to use the active plan."
    },
    "goals": {
      "type": "array",
      "minItems": 1,
      "items": {
        "type": "string"
      },
      "description": "What to improve, in the user's words. Recognised themes: larger living area, bedroom privacy, more daylight, less circulation waste, more storage, better room adjacency, improved accessibility, preserve garden space, space efficiency."
    },
    "constraints": {
      "type": "array",
      "items": {
        "type": "string"
      },
      "description": "What must not change, e.g. [\"keep 2 bedrooms\", \"keep 1 bathroom\", \"keep the garden\"]. Room counts and features are parsed out and held fixed."
    },
    "outputMode": {
      "type": "string",
      "enum": [
        "append",
        "replace"
      ],
      "default": "append",
      "description": "\"append\" adds a new plan below the existing ones so the human can compare before and after — this is the recommended default. \"replace\" overwrites the target plan in place and increments its version."
    }
  },
  "required": [
    "goals"
  ]
}