buildvsbuy-ai.vercel.app
BuildVsBuy.ai — a WebMCP decision canvas. Humans and browser-integrated agents co-manipulate one structured build-vs-buy model (Auth or AI Web Scraping) via typed tools, not DOM scraping.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 1 · Act 8 · Transact 0 · Score: Not yet scored
Tool inspector
set_priority_weight
Set the numeric weight (0–10) of exactly one decision criterion on the EXISTING workspace, then AUTOMATICALLY recalculate ranking (same as calling rerank_decision_options). Higher weight means that axis counts more. For vibe-coding / "prototype speed above all" / ship-fast follow-ups: set criterion time_to_prototype to 9 or 10 — Build falls last on the auth preset and cards update immediately. Do NOT create_decision or add_option for those follow-ups. If the weight is already at the requested value, still auto-rerank and re-emit ranking (idempotent money shot — no silent no-op).
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
criterion |
string | yes | Criterion key to update. |
weight |
number | yes | Absolute weight 0–10. |
Raw JSON schema
{
"type": "object",
"properties": {
"criterion": {
"type": "string",
"enum": [
"time_to_prototype",
"cash_tco",
"maintenance_overhead",
"customization",
"security_risk",
"strategic_learning",
"vendor_lockin"
],
"description": "Criterion key to update."
},
"weight": {
"type": "number",
"minimum": 0,
"maximum": 10,
"description": "Absolute weight 0–10."
}
},
"required": [
"criterion",
"weight"
],
"additionalProperties": false
}
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