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keithah

Qwen3-Coder MCP Server

qwen3_code_explain

Explain code functionality and logic in natural language to help developers understand complex programming concepts and improve code comprehension.

Instructions

Explain code using Qwen3-Coder

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
codeYesThe code to explain
languageNoProgramming language of the code

Implementation Reference

  • The specific handler logic for the 'qwen3_code_explain' tool. It constructs a detailed prompt for code explanation and invokes the shared callQwen3Coder helper function to query the Qwen3-Coder model.
          case "qwen3_code_explain":
            prompt = `Please explain the following ${args.language || 'code'} in detail, including what it does, how it works, and any important concepts:
    
    \`\`\`${args.language || ''}
    ${args.code}
    \`\`\`
    
    Provide a clear and comprehensive explanation.`;
            result = await callQwen3Coder(prompt);
            break;
  • Registration of the 'qwen3_code_explain' tool in the ListTools response, including its name, description, and input schema.
      name: "qwen3_code_explain",
      description: "Explain code using Qwen3-Coder",
      inputSchema: {
        type: "object",
        properties: {
          code: {
            type: "string",
            description: "The code to explain"
          },
          language: {
            type: "string",
            description: "Programming language of the code"
          }
        },
        required: ["code"]
      }
    },
  • Input schema definition for the 'qwen3_code_explain' tool, specifying required 'code' parameter and optional 'language'.
    inputSchema: {
      type: "object",
      properties: {
        code: {
          type: "string",
          description: "The code to explain"
        },
        language: {
          type: "string",
          description: "Programming language of the code"
        }
      },
      required: ["code"]
    }
  • Shared helper function used by all Qwen3 tools to spawn an Ollama process running the 'qwen3-coder:30b' model with the constructed prompt, capturing output with timeout handling.
    async function callQwen3Coder(prompt, options = {}) {
      return new Promise((resolve, reject) => {
        const ollamaProcess = spawn('ollama', ['run', 'qwen3-coder:30b', prompt], {
          stdio: ['pipe', 'pipe', 'pipe']
        });
    
        let output = '';
        let error = '';
    
        ollamaProcess.stdout.on('data', (data) => {
          output += data.toString();
        });
    
        ollamaProcess.stderr.on('data', (data) => {
          error += data.toString();
        });
    
        ollamaProcess.on('close', (code) => {
          if (code === 0) {
            resolve(output.trim());
          } else {
            reject(new Error(`Ollama process exited with code ${code}: ${error}`));
          }
        });
    
        // Set timeout for long-running requests
        setTimeout(() => {
          ollamaProcess.kill();
          reject(new Error('Request timeout'));
        }, options.timeout || 120000); // 2 minutes default timeout
      });
    }
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the tool 'explains code' but doesn't describe how it behaves—e.g., whether it provides detailed breakdowns, summaries, or examples; if it handles errors or incomplete code; or what the output format looks like. This leaves significant gaps in understanding the tool's operation.

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

Conciseness5/5

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

The description is extremely concise—a single sentence with no wasted words. It's front-loaded with the core purpose, making it easy to scan and understand quickly. Every word earns its place by directly stating the tool's function.

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

Completeness2/5

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

Given the lack of annotations and output schema, the description is incomplete. It doesn't explain what the explanation output entails (e.g., text summary, structured analysis), nor does it address behavioral aspects like error handling or limitations. For a tool with no structured behavioral data, the description should provide more context to be fully helpful.

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

Parameters3/5

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

The input schema has 100% description coverage, clearly documenting both parameters ('code' and 'language'). The description adds no additional semantic information beyond what the schema provides, such as examples or constraints. With high schema coverage, the baseline score of 3 is appropriate, as the schema does the heavy lifting.

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

Purpose4/5

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

The description clearly states the tool's purpose: 'Explain code using Qwen3-Coder'. It specifies the verb ('explain') and resource ('code'), making it easy to understand what the tool does. However, it doesn't differentiate itself from sibling tools like 'qwen3_code_review' or 'qwen3_code_fix', which might also involve code analysis.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'qwen3_code_review' and 'qwen3_code_fix' available, there's no indication of when explanation is preferred over review or fixing, nor any context about prerequisites or typical use cases.

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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