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generate_organization_chart

Read-only

Create visual organization charts to display hierarchical structures like CEO-direct report relationships. Customize orientation, style, and theme for clear team visualization.

Instructions

Generate an organization chart to visualize the hierarchical structure of an organization, such as, a diagram showing the relationship between a CEO and their direct reports.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesData for organization chart which is a hierarchical structure, such as, { name: 'CEO', description: 'Chief Executive Officer', children: [{ name: 'CTO', description: 'Chief Technology Officer', children: [{ name: 'Dev Manager', description: 'Development Manager' }] }] }, and the maximum depth is 3.
orientNoOrientation of the organization chart, either horizontal or vertical. Default is vertical, when the level of the chart is more than 3, it is recommended to use horizontal orientation.vertical
styleNoStyle configuration for the chart with a JSON object, optional.
themeNoSet the theme for the chart, optional, default is 'default'.default
widthNoSet the width of chart, default is 600.
heightNoSet the height of chart, default is 400.

Implementation Reference

  • Generic handler function for executing chart tools. For 'generate_organization_chart', maps to 'organization-chart', validates input schema from Charts.organizationChart.schema, generates chart URL via generateChartUrl, and returns content with URL and spec metadata.
    export async function callTool(tool: string, args: object = {}) {
      logger.info(`Calling tool: ${tool}`);
      const chartType = CHART_TYPE_MAP[tool as keyof typeof CHART_TYPE_MAP];
    
      if (!chartType) {
        logger.error(`Unknown tool: ${tool}`);
        throw new McpError(ErrorCode.MethodNotFound, `Unknown tool: ${tool}.`);
      }
    
      try {
        // Validate input using Zod before sending to API.
        // Select the appropriate schema based on the chart type.
        const schema = Charts[chartType].schema;
    
        if (schema) {
          // Use safeParse instead of parse and try-catch.
          const result = z.object(schema).safeParse(args);
          if (!result.success) {
            logger.error(`Invalid parameters: ${result.error.message}`);
            throw new McpError(
              ErrorCode.InvalidParams,
              `Invalid parameters: ${result.error.message}`,
            );
          }
        }
    
        const isMapChartTool = [
          "generate_district_map",
          "generate_path_map",
          "generate_pin_map",
        ].includes(tool);
    
        if (isMapChartTool) {
          // For map charts, we use the generateMap function, and return the mcp result.
          const { metadata, ...result } = await generateMap(tool, args);
          return result;
        }
    
        const url = await generateChartUrl(chartType, args);
        logger.info(`Generated chart URL: ${url}`);
    
        return {
          content: [
            {
              type: "text",
              text: url,
            },
          ],
          _meta: {
            description:
              "This is the chart's spec and configuration, which can be renderred to corresponding chart by AntV GPT-Vis chart components.",
            spec: { type: chartType, ...args },
          },
        };
        // biome-ignore lint/suspicious/noExplicitAny: <explanation>
      } catch (error: any) {
        logger.error(
          `Failed to generate chart: ${error.message || "Unknown error"}.`,
        );
        if (error instanceof McpError) throw error;
        if (error instanceof ValidateError)
          throw new McpError(ErrorCode.InvalidParams, error.message);
        throw new McpError(
          ErrorCode.InternalError,
          `Failed to generate chart: ${error?.message || "Unknown error."}`,
        );
      }
    }
  • Tool definition including inputSchema (derived from Zod schema via zodToJsonSchema) for MCP tool registration and validation.
    const tool = {
      name: "generate_organization_chart",
      description:
        "Generate an organization chart to visualize the hierarchical structure of an organization, such as, a diagram showing the relationship between a CEO and their direct reports.",
      inputSchema: zodToJsonSchema(schema),
      annotations: {
        title: "Generate Organization Chart",
        readOnlyHint: true,
      },
    };
  • Input schema object used to generate inputSchema for the tool, including data (OrganizationChartNodeSchema), orient, style, theme, width, height.
    const schema = {
      data: OrganizationChartNodeSchema.describe(
        "Data for organization chart which is a hierarchical structure, such as, { name: 'CEO', description: 'Chief Executive Officer', children: [{ name: 'CTO', description: 'Chief Technology Officer', children: [{ name: 'Dev Manager', description: 'Development Manager' }] }] }, and the maximum depth is 3.",
      ),
      orient: z
        .enum(["horizontal", "vertical"])
        .default("vertical")
        .describe(
          "Orientation of the organization chart, either horizontal or vertical. Default is vertical, when the level of the chart is more than 3, it is recommended to use horizontal orientation.",
        ),
      style: z
        .object({
          texture: TextureSchema,
        })
        .optional()
        .describe(
          "Style configuration for the chart with a JSON object, optional.",
        ),
      theme: ThemeSchema,
      width: WidthSchema,
      height: HeightSchema,
    };
  • src/server.ts:64-77 (registration)
    Sets up MCP request handlers for tools/list and tools/call. ListTools returns enabled chart.tool objects including generate_organization_chart. CallTool invokes callTool with params.
    function setupToolHandlers(server: Server): void {
      logger.info("setting up tool handlers...");
      server.setRequestHandler(ListToolsRequestSchema, async () => ({
        tools: getEnabledTools().map((chart) => chart.tool),
      }));
    
      // biome-ignore lint/suspicious/noExplicitAny: <explanation>
      server.setRequestHandler(CallToolRequestSchema, async (request: any) => {
        logger.info("calling tool", request.params.name, request.params.arguments);
    
        return await callTool(request.params.name, request.params.arguments);
      });
      logger.info("tool handlers set up");
    }
  • Re-exports organizationChart (with schema and tool) as 'organization-chart' so Charts['organization-chart'] is available for schema validation and tool listing.
    export { organizationChart as "organization-chart" } from "./organization-chart";
  • CHART_TYPE_MAP entry mapping tool name 'generate_organization_chart' to chart type 'organization-chart' used in callTool to lookup schema and generate chart.
    generate_organization_chart: "organization-chart",
Behavior3/5

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

Annotations provide readOnlyHint=true, indicating this is a safe read operation. The description adds some behavioral context by specifying it generates a visualization (a diagram) and mentioning the example relationship (CEO and direct reports). However, it doesn't disclose important traits like output format (e.g., image file, URL), whether it's interactive, or any rate limits. With annotations covering the safety aspect, the description adds moderate value but lacks comprehensive behavioral details.

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

Conciseness4/5

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

The description is appropriately concise with two clear sentences. The first sentence states the core purpose, and the second provides a concrete example. There's no unnecessary repetition or fluff. However, it could be slightly more front-loaded by explicitly mentioning it creates visual diagrams rather than just implying it through the example.

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

Completeness3/5

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

Given the complexity (6 parameters with nested objects) and rich schema documentation (100% coverage), the description is minimally adequate. It explains what the tool produces (a visualization/diagram) but doesn't address the output format or behavioral aspects like interactivity. With no output schema and annotations only covering read-only status, the description should ideally provide more context about what gets returned, but it meets the minimum viable threshold for this visualization tool.

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%, so all parameters are documented in the schema itself. The description doesn't add any parameter-specific information beyond what's in the schema descriptions. It mentions hierarchical structure and gives a CEO example, which loosely relates to the 'data' parameter, but provides no additional syntax, format, or usage details for any parameters. The baseline of 3 is appropriate when the schema does all the parameter documentation work.

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: 'Generate an organization chart to visualize the hierarchical structure of an organization.' It specifies the verb ('generate'), resource ('organization chart'), and provides a concrete example. However, it doesn't explicitly differentiate this from sibling tools like 'generate_mind_map' or 'generate_network_graph', which might also visualize hierarchical relationships.

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 for different visualization types (e.g., generate_mind_map, generate_network_graph, generate_treemap_chart), there's no indication of when an organization chart is preferred over these other hierarchical or structural visualizations. The description only states what it does, not when it's appropriate.

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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