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by flyanima

visualize_thinking

Create visual diagrams of concepts and thought processes using mind maps, flowcharts, or hierarchy charts to clarify complex ideas.

Instructions

Create visual representations of concepts and thinking processes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
conceptYesConcept or idea to visualize
styleNoVisualization stylemind_map

Implementation Reference

  • Execute function for visualize_thinking tool: extracts concept and style from input, generates visualization structure using helper, creates metadata with node count and recommended tools, returns structured visualization data.
      execute: async (args: ToolInput): Promise<ToolOutput> => {
        try {
          const { concept, style = 'mind_map' } = args;
          
          const visualization = {
            concept,
            style,
            structure: generateVisualizationStructure(concept, style),
            description: `${style} visualization of ${concept}`,
            metadata: {
              complexity_level: 'intermediate',
              node_count: getNodeCount(style),
              recommended_tools: ['Mermaid', 'Graphviz', 'Draw.io'],
              export_formats: ['SVG', 'PNG', 'PDF', 'JSON']
            }
          };
    
          return {
            success: true,
            data: visualization,
            metadata: {
              tool: 'visualize_thinking',
              timestamp: new Date().toISOString()
            }
          };
        } catch (error) {
          return {
            success: false,
            error: `Visualization failed: ${error instanceof Error ? error.message : String(error)}`,
            data: null
          };
        }
      }
    });
  • Input schema for visualize_thinking: requires 'concept' string, optional 'style' enum (mind_map, flowchart, hierarchy) with default 'mind_map'.
    inputSchema: {
      type: 'object',
      properties: {
        concept: {
          type: 'string',
          description: 'Concept or idea to visualize'
        },
        style: {
          type: 'string',
          enum: ['mind_map', 'flowchart', 'hierarchy'],
          description: 'Visualization style',
          default: 'mind_map'
        }
      },
      required: ['concept']
    },
  • Full registration of visualize_thinking tool in registerThinkingAnalysisTools function, including name, description, category, schema, and execute handler.
    registry.registerTool({
      name: 'visualize_thinking',
      description: 'Create visual representations of concepts and thinking processes',
      category: 'research',
      source: 'Thinking Analysis Engine',
      inputSchema: {
        type: 'object',
        properties: {
          concept: {
            type: 'string',
            description: 'Concept or idea to visualize'
          },
          style: {
            type: 'string',
            enum: ['mind_map', 'flowchart', 'hierarchy'],
            description: 'Visualization style',
            default: 'mind_map'
          }
        },
        required: ['concept']
      },
      execute: async (args: ToolInput): Promise<ToolOutput> => {
        try {
          const { concept, style = 'mind_map' } = args;
          
          const visualization = {
            concept,
            style,
            structure: generateVisualizationStructure(concept, style),
            description: `${style} visualization of ${concept}`,
            metadata: {
              complexity_level: 'intermediate',
              node_count: getNodeCount(style),
              recommended_tools: ['Mermaid', 'Graphviz', 'Draw.io'],
              export_formats: ['SVG', 'PNG', 'PDF', 'JSON']
            }
          };
    
          return {
            success: true,
            data: visualization,
            metadata: {
              tool: 'visualize_thinking',
              timestamp: new Date().toISOString()
            }
          };
        } catch (error) {
          return {
            success: false,
            error: `Visualization failed: ${error instanceof Error ? error.message : String(error)}`,
            data: null
          };
        }
      }
    });
  • src/index.ts:255-255 (registration)
    Invocation of registerThinkingAnalysisTools in OpenSearchMCPServer.registerAllTools(), which registers the visualize_thinking tool among 4 thinking analysis tools.
    registerThinkingAnalysisTools(this.toolRegistry);   // 4 tools: deep_research, visualize_thinking, decompose_thinking, check_research_saturation
  • Helper function generateVisualizationStructure used by visualize_thinking to create base structure, branches, and connections based on concept and style.
    function generateVisualizationStructure(concept: string, style: string) {
      const baseStructure = {
        central_node: concept,
        branches: [] as string[],
        connections: [] as string[],
        levels: 3
      };
    
      switch (style) {
        case 'mind_map':
          baseStructure.branches = [
            `${concept} - Core Concepts`,
            `${concept} - Applications`,
            `${concept} - Related Fields`,
            `${concept} - Future Directions`,
            `${concept} - Key Challenges`
          ];
          break;
        case 'flowchart':
          baseStructure.branches = [
            `Start: ${concept}`,
            `Process: Analyze ${concept}`,
            `Decision: Evaluate ${concept}`,
            `Output: Results of ${concept}`,
            `End: Conclusions`
          ];
          baseStructure.connections = ['sequential', 'conditional', 'parallel'];
          break;
        case 'hierarchy':
          baseStructure.branches = [
            `Level 1: ${concept} Overview`,
            `Level 2: ${concept} Components`,
            `Level 3: ${concept} Details`,
            `Level 4: ${concept} Implementation`
          ];
          break;
      }
    
      return baseStructure;
    }
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 creates visual representations but doesn't explain what that entails—e.g., whether it generates images, diagrams, or text descriptions; if it requires specific permissions or has rate limits; or what the output format might be. For a tool with no annotation coverage, this is a significant gap in transparency.

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: 'Create visual representations of concepts and thinking processes.' It is front-loaded with the core action and resource, with no wasted words or redundancy. This makes it easy to parse and understand quickly.

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 complexity of creating visual representations, the lack of annotations, and no output schema, the description is incomplete. It doesn't explain what the visual output looks like (e.g., image file, text description), how it's delivered, or any behavioral traits like error handling. For a tool with no structured data beyond the input schema, more context is needed to guide effective use.

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, with clear documentation for both parameters ('concept' and 'style'), including an enum for 'style'. The description doesn't add any additional meaning beyond what the schema provides, such as examples or constraints. Given the high schema coverage, a 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: 'Create visual representations of concepts and thinking processes.' It specifies the verb ('create') and resource ('visual representations'), making it easy to understand what the tool does. However, it doesn't explicitly differentiate from sibling tools like 'decompose_thinking' or 'deep_research', which might involve similar conceptual processing but without visualization.

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. It doesn't mention any context, prerequisites, or exclusions, such as when visualization is preferred over textual analysis or how it complements other tools like 'decompose_thinking'. This lack of usage context leaves the agent with minimal direction.

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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