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AzDeltaQQ

MCP Advanced Reasoning Server

by AzDeltaQQ

r1_reasoning

Solve complex problems by applying advanced reasoning methods to analyze prompts and generate logical solutions.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYesThe problem or query to reason about

Implementation Reference

  • Handler function that implements the r1_reasoning tool logic: validates input prompt, generates simulated R1 Transformer-based reasoning output as JSON text content.
    async ({ prompt }) => {
      try {
        // Validate parameters
        if (!prompt) {
          throw new ValidationError("Prompt is required");
        }
        
        // In a real implementation, this would connect to an external R1 reasoning system
        // For now, we'll simulate the reasoning process
        
        // Simulated reasoning output
        const reasoning = `R1 Reasoning Analysis:\n\n` +
                          `For the prompt: "${prompt.slice(0, 100)}...", the analysis is:\n\n` +
                          `1. Initial problem parsing: [Simulated R1 analysis]\n` +
                          `2. Key observation: [Simulated R1 analysis]\n` +
                          `3. Proposed solution approach: [Simulated R1 analysis]\n` +
                          `4. Implementation details: [Simulated R1 analysis]\n` +
                          `5. Verification and testing: [Simulated R1 analysis]\n\n` +
                          `[This would be actual R1 Transformer-based reasoning content]`;
        
        return {
          content: [
            {
              type: "text",
              text: JSON.stringify({
                strategy: "r1_transformer",
                originalPrompt: prompt,
                reasoning: reasoning,
                complete: true
              }, null, 2)
            }
          ]
        };
      } catch (error) {
        if (error instanceof ValidationError) {
          throw error;
        } else {
          throw new ReasoningError(`R1 reasoning failed: ${error instanceof Error ? error.message : String(error)}`);
        }
      }
    }
  • Input schema for r1_reasoning tool using Zod: requires a 'prompt' string parameter.
    {
      prompt: z.string().describe("The problem or query to reason about")
    },
  • Registration of the r1_reasoning tool on the MCP server within registerReasoningTools function.
    server.tool(
      "r1_reasoning",
      {
        prompt: z.string().describe("The problem or query to reason about")
      },
      async ({ prompt }) => {
        try {
          // Validate parameters
          if (!prompt) {
            throw new ValidationError("Prompt is required");
          }
          
          // In a real implementation, this would connect to an external R1 reasoning system
          // For now, we'll simulate the reasoning process
          
          // Simulated reasoning output
          const reasoning = `R1 Reasoning Analysis:\n\n` +
                            `For the prompt: "${prompt.slice(0, 100)}...", the analysis is:\n\n` +
                            `1. Initial problem parsing: [Simulated R1 analysis]\n` +
                            `2. Key observation: [Simulated R1 analysis]\n` +
                            `3. Proposed solution approach: [Simulated R1 analysis]\n` +
                            `4. Implementation details: [Simulated R1 analysis]\n` +
                            `5. Verification and testing: [Simulated R1 analysis]\n\n` +
                            `[This would be actual R1 Transformer-based reasoning content]`;
          
          return {
            content: [
              {
                type: "text",
                text: JSON.stringify({
                  strategy: "r1_transformer",
                  originalPrompt: prompt,
                  reasoning: reasoning,
                  complete: true
                }, null, 2)
              }
            ]
          };
        } catch (error) {
          if (error instanceof ValidationError) {
            throw error;
          } else {
            throw new ReasoningError(`R1 reasoning failed: ${error instanceof Error ? error.message : String(error)}`);
          }
        }
      }
    );
  • src/index.ts:22-22 (registration)
    Top-level call to registerReasoningTools(server), which registers the r1_reasoning tool among others.
    registerReasoningTools(server);
  • ReasoningError class used in the r1_reasoning handler for error handling.
    export class ReasoningError extends Error {
      constructor(message: string) {
        super(message);
        this.name = "ReasoningError";
      }
    }
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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