geminithinking

A detailed tool for that uses Gemini 2.5 Pro dynamic and reflective problem-solving through Gemini AI. This tool helps analyze problems through a flexible thinking process powered by Google's Gemini model. Each thought can build on, question, or revise previous insights as understanding deepens. When to use this tool: - Breaking down complex problems into steps - Planning and design with room for revision - Analysis that might need course correction - Problems where the full scope might not be clear initially - Problems that require a multi-step solution - Tasks that need to maintain context over multiple steps - Situations where irrelevant information needs to be filtered out Key features: - Leverages Gemini AI for deep analytical thinking - Provides meta-commentary on the reasoning process - Indicates confidence levels for generated thoughts - Suggests alternative approaches when relevant - You can adjust total_thoughts up or down as you progress - You can question or revise previous thoughts - You can add more thoughts even after reaching what seemed like the end - You can express uncertainty and explore alternative approaches - Not every thought needs to build linearly - you can branch or backtrack - Session persistence: save and resume your analysis sessions Parameters explained: - query: The question or problem to be analyzed - context: Additional context information (e.g., code snippets, background) - approach: Suggested approach to the problem (optional) - previousThoughts: Array of previous thoughts for context - thought: The current thinking step (if empty, will be generated by Gemini) - next_thought_needed: True if you need more thinking, even if at what seemed like the end - thought_number: Current number in sequence (can go beyond initial total if needed) - total_thoughts: Current estimate of thoughts needed (can be adjusted up/down) - is_revision: A boolean indicating if this thought revises previous thinking - revises_thought: If is_revision is true, which thought number is being reconsidered - branch_from_thought: If branching, which thought number is the branching point - branch_id: Identifier for the current branch (if any) - needs_more_thoughts: If reaching end but realizing more thoughts needed - metaComments: Meta-commentary from Gemini about its reasoning process - confidenceLevel: Gemini's confidence in the generated thought (0-1) - alternativePaths: Alternative approaches suggested by Gemini Session commands: - sessionCommand: Command to manage sessions ('save', 'load', 'getState') - sessionPath: Path to save or load the session file (required for 'save' and 'load' commands) You should: 1. Start with a clear query and any relevant context 2. Let Gemini generate thoughts by not providing the 'thought' parameter 3. Review the generated thoughts and meta-commentary 4. Feel free to revise or branch thoughts as needed 5. Consider alternative paths suggested by Gemini 6. Only set next_thought_needed to false when truly done 7. give realy realy long thinking results,like 1000words or something it should be a lot 7. give realy realy long thinking results,like 1000words or something it should be a lot 7. give realy realy long thinking results,like 1000words or something it should be a lot 8. Use session commands to save your progress and resume later. It is categorised as a Destructive tool in the Gemini Thinking 2 5 Pro MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

Add a rule in your Intercept YAML policy under the tools section for geminithinking. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Gemini Thinking 2 5 Pro MCP server.

geminithinking is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Yes. Add a rate_limit block to the geminithinking rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

Set action: deny in the Intercept policy for geminithinking. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

geminithinking is provided by the Gemini Thinking 2 5 Pro MCP server (palolxx/geminimcptest). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.