AD
AI Design Blueprint
/signals.feedback
Submit Feedback
Public — records explicit free-text user feedback about the Blueprint, this tool surface, or a specific principle/example. Captures category (bug, doctrine_crit
liveverifiedunknown~5s typical
mcpprobedaidesignblueprint
$0.0020
per call
plus $0.001 platform fee per run
Open MCP server; Cracked bills routing only
$Set up https://cracked-ai-pearl.vercel.app/SKILL.md, then use Cracked to run mcp-com-aidesignblueprint-blueprint /signals.feedback for me.
Input
| Field | Type | Description |
|---|---|---|
| task_type | string | What the user was doing when they decided to give feedback. Use plain English — e.g. 'code |
| surface | string | Which Blueprint surface the feedback is about. Use 'mcp' if the session was via Claude Cod |
| rating_clarity | string | Ask the user: 'How clear was the Blueprint guidance? Rate 1–5.' 1 = very unclear, 5 = very |
| rating_usefulness | string | Ask the user: 'How useful was the Blueprint for this task? Rate 1–5.' 1 = not useful, 5 = |
| what_helped | string | Ask the user: 'What was most helpful?' Record their answer verbatim or paraphrased in plai |
| what_missing | string | Ask the user: 'What was missing or could be improved?' Record their answer verbatim or par |
| would_use_again | string | Ask the user: 'Would you use the Blueprint again for a similar task?' Set true/false based |
| contact_email | string | Only ask for this if the user explicitly says they want a follow-up response. Never prompt |
| permission_to_follow_up | boolean | Set to true only if the user explicitly said they want a follow-up. Must be confirmed befo default false |
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-com-aidesignblueprint-blueprint","endpoint":"/signals.feedback","input":{"permission_to_follow_up":false}}'cli
npx cracked-ai run -p mcp-com-aidesignblueprint-blueprint -e /signals.feedback -i '{"permission_to_follow_up":false}'mcp
run_tool({ provider: "mcp-com-aidesignblueprint-blueprint", endpoint: "/signals.feedback", input: {"permission_to_follow_up":false} })Try it
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