gemini_iterate_analysis
Implement iterative analysis patterns to solve dynamic problems. Structure reasoning, observe and interpret results, reflect on findings, adjust strategy, and decide when to conclude or pivot approaches effectively.
Instructions
Guide iterative analysis using observe-think-act cycles for dynamic problem-solving.
This tool helps you implement iterative analysis patterns that adapt based on findings:
How to structure reasoning before taking action
How to observe and interpret results effectively
How to reflect on findings and adjust strategy dynamically
How to decide when to continue iterating vs. when to conclude
How to handle unexpected results and pivot approaches
Based on ReAct patterns used by Gemini CLI itself for complex problem-solving workflows.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| current_understanding | Yes | What you currently understand about the problem/codebase from previous analysis steps. | |
| iteration_goal | Yes | What specific aspect you want to investigate in this ReAct iteration. | |
| unexpected_findings | No | Optional: Any unexpected results from previous iterations that require strategy adjustment. |
Input Schema (JSON Schema)
{
"properties": {
"current_understanding": {
"description": "What you currently understand about the problem/codebase from previous analysis steps.",
"type": "string"
},
"iteration_goal": {
"description": "What specific aspect you want to investigate in this ReAct iteration.",
"type": "string"
},
"unexpected_findings": {
"description": "Optional: Any unexpected results from previous iterations that require strategy adjustment.",
"type": "string"
}
},
"required": [
"current_understanding",
"iteration_goal"
],
"type": "object"
}