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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

showComparisonMatrix

act imperative

Show a ranked comparison of 2+ options scored against weighted criteria — for 'which one should I pick' questions (products, plans, job offers, apartments, vendors, candidates). Ranks options by weighted total score and highlights the winner. Not for a single yes/no decision — use showProsCons for that instead. If the user later wants just the winner's score called out on its own (not the full comparison again), use showGauge with that option's weightedTotal/maxPossibleTotal rather than recomputing a score — don't call this tool a second time just to re-show one number. If the user would rather see the shape of how 2-3 options compare across dimensions than a ranked list, showChart's 'radar' type can plot those same per-dimension scores directly — reuse them rather than re-scoring. This is the right tool for a recruiter screening multiple candidates for the same role — 'which of these should I move forward with' is a ranking question, not the single yes/no showProsCons answers. Call extractInfoFromCV once per attached CV/resume and getPageMarkdown on the job posting first, then use the role's key requirements as `dimensions` and one `option` per candidate: score each dimension only from what that candidate's own extraction actually contains, never a guess to fill in the table, the same grounding rule the single-candidate showProsCons/radar path follows. For up to 3 candidates, follow this call with showChart 'radar' overlaying the same candidates and scores against a 'Required' series — don't stop at just the matrix, the radar is the required second half showing the shape of the fit, not an optional extra. Provide `dimensions` (the criteria being judged, each {id, name, weight}) and `options` (the items being compared, each {id, name, summary, scores: [{dimensionId, score}]} with one score per dimension — every option must be scored on every dimension). Invent short slug ids for dimensions (e.g. "price", "reliability") and reference them by that same id in every op…

Page: /

Input schema

PropertyTypeRequiredDescription
title string no Short label for what's being compared.
dimensions array yes The criteria options are judged on.
options array yes The items being compared.
recommendation string no One-sentence takeaway, optional.
Raw JSON schema
{
  "type": "object",
  "properties": {
    "title": {
      "type": "string",
      "description": "Short label for what's being compared."
    },
    "dimensions": {
      "type": "array",
      "description": "The criteria options are judged on.",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "weight": {
            "type": "number",
            "description": "1-5 multiplier, default 1."
          }
        },
        "required": [
          "id",
          "name"
        ]
      }
    },
    "options": {
      "type": "array",
      "description": "The items being compared.",
      "items": {
        "type": "object",
        "properties": {
          "id": {
            "type": "string"
          },
          "name": {
            "type": "string"
          },
          "summary": {
            "type": "string",
            "description": "One-line rationale for how this option scored."
          },
          "scores": {
            "type": "array",
            "items": {
              "type": "object",
              "properties": {
                "dimensionId": {
                  "type": "string"
                },
                "score": {
                  "type": "number",
                  "description": "2, 4, 6, 8, or 10."
                }
              },
              "required": [
                "dimensionId",
                "score"
              ]
            }
          }
        },
        "required": [
          "id",
          "name",
          "scores"
        ]
      }
    },
    "recommendation": {
      "type": "string",
      "description": "One-sentence takeaway, optional."
    }
  },
  "required": [
    "dimensions",
    "options"
  ]
}

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