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Gemini CLI Orchestrator MCP

by dnnyngyen

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

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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