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decompose_thinking

Break down complex problems into manageable components using hierarchical, functional, or temporal methods to simplify analysis and problem-solving.

Instructions

Break down complex problems into manageable components

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
problemYesComplex problem or topic to decompose
methodNoDecomposition methodhierarchical

Implementation Reference

  • The execute handler function for decompose_thinking tool. It takes a problem and optional method, creates a decomposition structure with components and relationships, and returns structured output or error.
    execute: async (args: ToolInput): Promise<ToolOutput> => {
      try {
        const { problem, method = 'hierarchical' } = args;
        
        const decomposition = {
          problem,
          method,
          components: [
            { level: 1, component: `${problem} - Component 1` },
            { level: 2, component: `${problem} - Component 2` }
          ],
          relationships: ['Component dependencies', 'Sequential relationships']
        };
    
        return {
          success: true,
          data: decomposition,
          metadata: {
            tool: 'decompose_thinking',
            timestamp: new Date().toISOString()
          }
        };
      } catch (error) {
        return {
          success: false,
          error: `Problem decomposition failed: ${error instanceof Error ? error.message : String(error)}`,
          data: null
        };
      }
    }
  • Input schema for decompose_thinking tool defining problem (required string) and optional method (enum: hierarchical, functional, temporal).
    inputSchema: {
      type: 'object',
      properties: {
        problem: {
          type: 'string',
          description: 'Complex problem or topic to decompose'
        },
        method: {
          type: 'string',
          enum: ['hierarchical', 'functional', 'temporal'],
          description: 'Decomposition method',
          default: 'hierarchical'
        }
      },
      required: ['problem']
    },
  • Local registration of the decompose_thinking tool within the registerThinkingAnalysisTools function, including name, description, schema, and handler.
    registry.registerTool({
      name: 'decompose_thinking',
      description: 'Break down complex problems into manageable components',
      category: 'research',
      source: 'Thinking Analysis Engine',
      inputSchema: {
        type: 'object',
        properties: {
          problem: {
            type: 'string',
            description: 'Complex problem or topic to decompose'
          },
          method: {
            type: 'string',
            enum: ['hierarchical', 'functional', 'temporal'],
            description: 'Decomposition method',
            default: 'hierarchical'
          }
        },
        required: ['problem']
      },
      execute: async (args: ToolInput): Promise<ToolOutput> => {
        try {
          const { problem, method = 'hierarchical' } = args;
          
          const decomposition = {
            problem,
            method,
            components: [
              { level: 1, component: `${problem} - Component 1` },
              { level: 2, component: `${problem} - Component 2` }
            ],
            relationships: ['Component dependencies', 'Sequential relationships']
          };
    
          return {
            success: true,
            data: decomposition,
            metadata: {
              tool: 'decompose_thinking',
              timestamp: new Date().toISOString()
            }
          };
        } catch (error) {
          return {
            success: false,
            error: `Problem decomposition failed: ${error instanceof Error ? error.message : String(error)}`,
            data: null
          };
        }
      }
    });
  • src/index.ts:255-255 (registration)
    Top-level registration call in main server initialization that registers the thinking analysis tools group including decompose_thinking.
    registerThinkingAnalysisTools(this.toolRegistry);   // 4 tools: deep_research, visualize_thinking, decompose_thinking, check_research_saturation
Behavior2/5

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

No annotations are provided, so the description carries full burden. While 'break down' implies analysis rather than mutation, the description doesn't disclose important behavioral aspects: whether this is a read-only operation, what the output format looks like, computational requirements, or any limitations on problem complexity or size.

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 a single, efficient sentence that communicates the core function without unnecessary words. It's front-loaded with the main action and outcome, making it immediately understandable.

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?

For a tool with no annotations and no output schema, the description is insufficient. It doesn't explain what the decomposition output looks like, how results are structured, or provide any examples. Given the tool's apparent complexity (decomposing problems with multiple methods), more context about the transformation process and results is needed.

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?

Schema description coverage is 100%, providing complete parameter documentation. The description doesn't add any meaningful semantic context beyond what's in the schema - it mentions 'complex problems' which aligns with the 'problem' parameter, but doesn't explain decomposition methods or provide examples of appropriate problem types.

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 with a specific verb ('break down') and target ('complex problems'), and specifies the outcome ('into manageable components'). However, it doesn't explicitly differentiate this tool from potential sibling tools like 'visualize_thinking' or 'deep_research' that might also handle complex problems.

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 many sibling tools available (like 'deep_research', 'intelligent_research', 'analyze_pdf'), there's no indication of when decomposition is preferable to other research or analysis approaches.

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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