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Gemini CLI Orchestrator MCP

by dnnyngyen

gemini_iterate_analysis

Guide iterative problem-solving by structuring reasoning, observing results, and dynamically adjusting strategies based on findings. Use observe-think-act cycles for effective analysis and decision-making.

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

NameRequiredDescriptionDefault
current_understandingYesWhat you currently understand about the problem/codebase from previous analysis steps.
iteration_goalYesWhat specific aspect you want to investigate in this ReAct iteration.
unexpected_findingsNoOptional: 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" }
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