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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
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
| Property | Type | Required | Description |
|---|---|---|---|
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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