fieldset-dusky.vercel.app
An agent-native form builder. Draft a form from a sentence, or fill a shared one from your preferences — the agent and you share the same controls.
First seen 2026-11-05 · Last seen 2026-11-05 · Source: webmcp.com
Answer 0 · Act 2 · Transact 0 · Score: Not yet scored
Tool inspector
build_form
Build a COMPLETE form in one call from a goal (e.g. 'a form to collect feedback on my presentation'): creates the form, sets the title, and adds every question at once. Prefer this over create_form whenever you already know what to ask. kinds: short_text, long_text, email, url, phone, number, currency, rich_text, single_choice, multi_choice, dropdown, yes_no, ranking, rating, slider, opinion_scale, nps, matrix, date, time, address, file, signature, color, image, video, section, statement, page_break, consent, hidden. Give options[] for single_choice/multi_choice/dropdown, min/max (and step) for rating/slider, and use kind 'section' for a header.
Input schema
| Property | Type | Required | Description |
|---|---|---|---|
title |
string | yes | The form title |
description |
string | no | Optional subtitle shown to respondents |
questions |
array | yes | Every question to add, in order |
Raw JSON schema
{
"type": "object",
"properties": {
"title": {
"type": "string",
"description": "The form title"
},
"description": {
"type": "string",
"description": "Optional subtitle shown to respondents"
},
"questions": {
"type": "array",
"description": "Every question to add, in order",
"items": {
"type": "object",
"properties": {
"kind": {
"type": "string",
"enum": [
"short_text",
"long_text",
"email",
"url",
"phone",
"number",
"currency",
"rich_text",
"single_choice",
"multi_choice",
"dropdown",
"yes_no",
"ranking",
"rating",
"slider",
"opinion_scale",
"nps",
"matrix",
"date",
"time",
"address",
"file",
"signature",
"color",
"image",
"video",
"section",
"statement",
"page_break",
"consent",
"hidden"
]
},
"label": {
"type": "string",
"description": "The question text"
},
"required": {
"type": "boolean"
},
"options": {
"type": "array",
"items": {
"type": "string"
}
},
"min": {
"type": "number"
},
"max": {
"type": "number"
},
"step": {
"type": "number"
}
},
"required": [
"kind",
"label"
]
}
}
},
"required": [
"title",
"questions"
]
}
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