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AzDeltaQQ

MCP Advanced Reasoning Server

by AzDeltaQQ

reason_hybrid

Solve complex problems by combining multiple reasoning methods to analyze tasks and generate comprehensive solutions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesThe problem or task to reason about using Hybrid reasoning

Implementation Reference

  • Handler function implementing hybrid reasoning logic with iterative thoughts using a simulated combination of transformer and MCTS approaches.
    async ({ query }) => {
      try {
        // Initialize first thought
        const totalThoughts = 3;
        let currentThought = `Hybrid Reasoning (Step 1/${totalThoughts}): Initial analysis of the problem "${query}":\n\n` +
                             `Using a combination of transformer analysis and MCTS simulation to tackle this problem. ${query}\n\n` +
                             `[This would be the initial Hybrid Transformer+MCTS reasoning]`;
        let thoughtNumber = 1;
        let complete = false;
        let allThoughts = [currentThought];
        
        // Automatically iterate through all thoughts
        while (!complete && thoughtNumber < totalThoughts) {
          // Simulate next thought generation
          thoughtNumber++;
          const nextThought = `Hybrid Reasoning (Step ${thoughtNumber}/${totalThoughts}): ` +
                             `Combining transformer analysis with 50 MCTS simulations on "${currentThought.slice(0, 50)}...", ` +
                             `the enhanced analysis suggests...\n\n` +
                             `[This would be the next step of Hybrid reasoning for: ${query}]`;
          
          allThoughts.push(nextThought);
          currentThought = nextThought;
          
          // Check if we've reached the final thought
          if (thoughtNumber >= totalThoughts) {
            complete = true;
          }
        }
        
        // Final result with all thoughts
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify({
                strategy: "hybrid_transformer_mcts",
                originalPrompt: query,
                allThoughts: allThoughts,
                thoughtNumber: thoughtNumber,
                totalThoughts: totalThoughts,
                complete: true
              }, null, 2)
            }
          ]
        };
      } catch (error) {
        throw new ReasoningError(`Hybrid reasoning command failed: ${error instanceof Error ? error.message : String(error)}`);
      }
    }
  • Zod input schema defining the 'query' parameter for the reason_hybrid tool.
    {
      query: z.string().describe("The problem or task to reason about using Hybrid reasoning")
    },
  • Registration of the 'reason_hybrid' tool on the MCP server within the registerCommandWrappers function.
    server.tool(
      "reason_hybrid",
      {
        query: z.string().describe("The problem or task to reason about using Hybrid reasoning")
      },
      async ({ query }) => {
        try {
          // Initialize first thought
          const totalThoughts = 3;
          let currentThought = `Hybrid Reasoning (Step 1/${totalThoughts}): Initial analysis of the problem "${query}":\n\n` +
                               `Using a combination of transformer analysis and MCTS simulation to tackle this problem. ${query}\n\n` +
                               `[This would be the initial Hybrid Transformer+MCTS reasoning]`;
          let thoughtNumber = 1;
          let complete = false;
          let allThoughts = [currentThought];
          
          // Automatically iterate through all thoughts
          while (!complete && thoughtNumber < totalThoughts) {
            // Simulate next thought generation
            thoughtNumber++;
            const nextThought = `Hybrid Reasoning (Step ${thoughtNumber}/${totalThoughts}): ` +
                               `Combining transformer analysis with 50 MCTS simulations on "${currentThought.slice(0, 50)}...", ` +
                               `the enhanced analysis suggests...\n\n` +
                               `[This would be the next step of Hybrid reasoning for: ${query}]`;
            
            allThoughts.push(nextThought);
            currentThought = nextThought;
            
            // Check if we've reached the final thought
            if (thoughtNumber >= totalThoughts) {
              complete = true;
            }
          }
          
          // Final result with all thoughts
          return {
            content: [
              {
                type: "text",
                text: JSON.stringify({
                  strategy: "hybrid_transformer_mcts",
                  originalPrompt: query,
                  allThoughts: allThoughts,
                  thoughtNumber: thoughtNumber,
                  totalThoughts: totalThoughts,
                  complete: true
                }, null, 2)
              }
            ]
          };
        } catch (error) {
          throw new ReasoningError(`Hybrid reasoning command failed: ${error instanceof Error ? error.message : String(error)}`);
        }
      }
    );
Behavior1/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Tool has no description.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness1/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Tool has no description.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has no description.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Tool has no description.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose1/5

Does the description clearly state what the tool does and how it differs from similar tools?

Tool has no description.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Tool has no description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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