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reloadium.com

reloadium.com

live Unverified (seed import) AI & Agents 204 tools imperative implementation

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

Answer 67 · Act 127 · Transact 10 · Score: Not yet scored

Tool inspector

showZoneGrid

act imperative

Show a 3×3 diagnostic zone grid — for 'where do you land across two named dimensions' questions where each dimension has exactly 3 discrete states, not continuous numbers (use showChart for numeric data). Each of the 9 combinations gets its own named zone (e.g. crossing an 'Overloaded' load state with an 'Avoidant' recovery state might be called 'Crash Cycle') — think team/relationship/decision health checks, risk-vs-reward framings, or any 'which state am I in' diagnostic across two 3-state axes. Picking good dimensions is the hard part: choose two genuinely INDEPENDENT forces, not a metric and its own inverse — each should be able to be too little OR too much on its own, regardless of what the other one is doing. Examples of good pairs: Load × Recovery (stress), Clarity of Direction × Psychological Safety (management), Value Capture × Resource Allocation (finances), Connection Quality × Boundary Health (relationships), Outlook/Optimism × Agency/Determination (mindset) — invent an equally independent pair for whatever topic the user actually asked about, don't limit yourself to these. Provide dim1 and dim2 as {label, statuses: [exactly 3 strings], optimalStatus: one of those 3}, and cells as one entry per combination: {dim1Status, dim2Status, zone} — provide all 9 for a complete grid. The optimal zone (where both dimensions are at their optimalStatus) is highlighted automatically, and the 4 zones sharing a row or column with it are colored as 'medium' — you don't classify this yourself, just supply the 9 zone names. Optionally set 'activeZone' to the zone name matching the user's actual current situation, to highlight where they land on the grid.

Page: /

Input schema

PropertyTypeRequiredDescription
title string no —
dim1 object yes —
dim2 object yes —
cells array yes —
activeZone string no —
Raw JSON schema
{
  "type": "object",
  "properties": {
    "title": {
      "type": "string"
    },
    "dim1": {
      "type": "object",
      "properties": {
        "label": {
          "type": "string"
        },
        "statuses": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "optimalStatus": {
          "type": "string"
        }
      },
      "required": [
        "label",
        "statuses",
        "optimalStatus"
      ]
    },
    "dim2": {
      "type": "object",
      "properties": {
        "label": {
          "type": "string"
        },
        "statuses": {
          "type": "array",
          "items": {
            "type": "string"
          }
        },
        "optimalStatus": {
          "type": "string"
        }
      },
      "required": [
        "label",
        "statuses",
        "optimalStatus"
      ]
    },
    "cells": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "dim1Status": {
            "type": "string"
          },
          "dim2Status": {
            "type": "string"
          },
          "zone": {
            "type": "string"
          }
        },
        "required": [
          "dim1Status",
          "dim2Status",
          "zone"
        ]
      }
    },
    "activeZone": {
      "type": "string"
    }
  },
  "required": [
    "dim1",
    "dim2",
    "cells"
  ]
}

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