vibe_check
Analyze assumptions, identify uncertainties, and interrupt overcomplicated reasoning paths to improve decision-making and prevent cascading errors in AI systems.
Instructions
Metacognitive questioning tool that identifies assumptions and breaks tunnel vision to prevent cascading errors
Input Schema
Name | Required | Description | Default |
---|---|---|---|
goal | Yes | The agent's current goal | |
modelOverride | No | ||
plan | Yes | The agent's detailed plan | |
progress | No | The agent's progress so far | |
sessionId | No | Optional session ID for state management | |
taskContext | No | The context of the current task | |
uncertainties | No | The agent's uncertainties | |
userPrompt | No | The original user prompt |
Input Schema (JSON Schema)
{
"properties": {
"goal": {
"description": "The agent's current goal",
"type": "string"
},
"modelOverride": {
"properties": {
"model": {
"type": "string"
},
"provider": {
"enum": [
"gemini",
"openai",
"openrouter"
],
"type": "string"
}
},
"required": [],
"type": "object"
},
"plan": {
"description": "The agent's detailed plan",
"type": "string"
},
"progress": {
"description": "The agent's progress so far",
"type": "string"
},
"sessionId": {
"description": "Optional session ID for state management",
"type": "string"
},
"taskContext": {
"description": "The context of the current task",
"type": "string"
},
"uncertainties": {
"description": "The agent's uncertainties",
"items": {
"type": "string"
},
"type": "array"
},
"userPrompt": {
"description": "The original user prompt",
"type": "string"
}
},
"required": [
"goal",
"plan"
],
"type": "object"
}