Plan a Multi-Question Block in a Study

Creates or revises a non-executing draft for a multi-question plan inside an existing Study. Applicability: this is the setup operation for every questionnaire,

liveunknown~5s typical

mcpminds:syntheticmarket

$0.0020

per call

plus $0.001 platform fee per run

Open MCP server; Cracked bills routing only

Provider Upstream docs

$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-ai-getminds-minds /plan_study_questions for me.

Input

Field	Type	Description
studyId	string	Study ID (UUID). Omit with studyName to continue the active Study.
studyName	string	Study name for fuzzy matching. Omit with studyId to continue the active Study.
panelId	string	Study ID (UUID; legacy wire field name: panelId). Omit both panelId and panelName only to
panelName	string	Study name for fuzzy matching (legacy wire field name: panelName). Omit both panelName and
request	string	Planner input containing the research objective, questionnaire, survey, battery, section,
studyLocale	string (en \| es \| fr \| de \| zh \| tr)	Language for the plan, questions, responses, labels, and summary. Set this explicitly when
source	object	The one main source this study is about. When Minds must evaluate pasted text, use kind pr
attachments	array	Files that every question in this planned Study must evaluate. Use one distinct entry per
draftPlanId	string	Existing draft ID to revise after the user answers a confirmation question.
revision	integer	Current draft revision; required with draftPlanId.
refinement	string	How the user wants the existing draft changed.
answers	array	Answers to the draft confirmation questions.
questionResponses	array	Explicit response-format edits, one entry per question. Each entry needs questionId (from

Call it

curl

curl https://cracked-ai-pearl.vercel.app/v1/run \
  -H "Authorization: Bearer ck_live_..." -H "content-type: application/json" \
  -d '{"provider":"mcp-ai-getminds-minds","endpoint":"/plan_study_questions","input":{}}'

cli

npx cracked-ai run -p mcp-ai-getminds-minds -e /plan_study_questions -i '{}'

mcp

run_tool({ provider: "mcp-ai-getminds-minds", endpoint: "/plan_study_questions", input: {} })

Try it

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