Skip to main content
Glama

generate_histogram_chart

Read-only

Create histogram charts to visualize data distribution patterns, identify frequency concentrations, and detect outliers within numerical datasets.

Instructions

Generate a histogram chart to show the frequency of data points within a certain range. It can observe data distribution, such as, normal and skewed distributions, and identify data concentration areas and extreme points.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataYesData for histogram chart, it should be an array of numbers, such as, [78, 88, 60, 100, 95].
binNumberNoNumber of intervals to define the number of intervals in a histogram, when not specified, a built-in value will be used.
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.
titleNoSet the title of chart.
axisXTitleNoSet the x-axis title of chart.
axisYTitleNoSet the y-axis title of chart.

Implementation Reference

  • Handler function that executes generate_histogram_chart by mapping to 'histogram' chart type, validating arguments, and returning the generated chart URL.
    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."}`,
        );
      }
    }
  • Defines the Zod input schema and tool descriptor including name, description, and inputSchema for generate_histogram_chart.
    const schema = {
      data: z
        .array(z.number())
        .describe(
          "Data for histogram chart, it should be an array of numbers, such as, [78, 88, 60, 100, 95].",
        )
        .nonempty({ message: "Histogram chart data cannot be empty." }),
      binNumber: z
        .number()
        .optional()
        .describe(
          "Number of intervals to define the number of intervals in a histogram, when not specified, a built-in value will be used.",
        ),
      style: z
        .object({
          backgroundColor: BackgroundColorSchema,
          palette: PaletteSchema,
          texture: TextureSchema,
        })
        .optional()
        .describe(
          "Style configuration for the chart with a JSON object, optional.",
        ),
      theme: ThemeSchema,
      width: WidthSchema,
      height: HeightSchema,
      title: TitleSchema,
      axisXTitle: AxisXTitleSchema,
      axisYTitle: AxisYTitleSchema,
    };
    
    // Histogram chart tool descriptor
    const tool = {
      name: "generate_histogram_chart",
      description:
        "Generate a histogram chart to show the frequency of data points within a certain range. It can observe data distribution, such as, normal and skewed distributions, and identify data concentration areas and extreme points.",
      inputSchema: zodToJsonSchema(schema),
      annotations: {
        title: "Generate Histogram Chart",
        readOnlyHint: true,
      },
    };
    
    export const histogram = {
      schema,
      tool,
    };
  • src/server.ts:64-77 (registration)
    Registers the MCP listTools and callTool request handlers. The listTools includes generate_histogram_chart from Charts.histogram.tool, and callTool executes it.
    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");
    }
  • Maps the tool name 'generate_histogram_chart' to the internal chart type 'histogram'.
    const CHART_TYPE_MAP = {
      generate_area_chart: "area",
      generate_bar_chart: "bar",
      generate_boxplot_chart: "boxplot",
      generate_column_chart: "column",
      generate_district_map: "district-map",
      generate_dual_axes_chart: "dual-axes",
      generate_fishbone_diagram: "fishbone-diagram",
      generate_flow_diagram: "flow-diagram",
      generate_funnel_chart: "funnel",
      generate_histogram_chart: "histogram",
      generate_line_chart: "line",
      generate_liquid_chart: "liquid",
      generate_mind_map: "mind-map",
      generate_network_graph: "network-graph",
      generate_organization_chart: "organization-chart",
      generate_path_map: "path-map",
      generate_pie_chart: "pie",
      generate_pin_map: "pin-map",
      generate_radar_chart: "radar",
      generate_sankey_chart: "sankey",
      generate_scatter_chart: "scatter",
      generate_treemap_chart: "treemap",
      generate_venn_chart: "venn",
      generate_violin_chart: "violin",
      generate_waterfall_chart: "waterfall",
      generate_word_cloud_chart: "word-cloud",
    } as const;
  • Core helper that generates the histogram chart URL by sending the 'histogram' type and options to the visualization service API.
    export async function generateChartUrl(
      type: string,
      // biome-ignore lint/suspicious/noExplicitAny: <explanation>
      options: Record<string, any>,
    ): Promise<string> {
      const url = getVisRequestServer();
    
      const response = await axios.post(
        url,
        {
          type,
          ...options,
          source: "mcp-server-chart",
        },
        {
          headers: {
            "Content-Type": "application/json",
          },
        },
      );
      const { success, errorMessage, resultObj } = response.data;
    
      if (!success) {
        throw new Error(errorMessage);
      }
    
      return resultObj;
    }
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 that doesn't modify data. The description adds some behavioral context by mentioning what the chart can 'observe' (e.g., normal/skewed distributions) and 'identify' (concentration areas, extreme points), which helps the agent understand the analytical value. However, it doesn't disclose other behavioral traits like whether it generates an image file, returns a URL, or has any rate limits or authentication needs beyond what annotations cover.

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 at two sentences, with the first sentence stating the core purpose and the second elaborating on analytical benefits. There's no wasted text or redundancy. However, it could be slightly more front-loaded by immediately distinguishing from siblings, which would improve structure further.

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 tool's moderate complexity (9 parameters, nested objects) and rich schema coverage (100%), the description is adequate but has gaps. It explains the purpose and analytical value but doesn't cover output format (no output schema exists), performance considerations, or sibling differentiation. With annotations covering safety, the description provides basic context but could be more complete for a chart generation 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 the schema already documents all 9 parameters thoroughly with descriptions, defaults, and enums. The description adds no parameter-specific information beyond what's in the schema. According to the rules, when schema coverage is high (>80%), the baseline score is 3 even with no param info in the description, which applies here.

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 a histogram chart to show the frequency of data points within a certain range.' It specifies the verb ('generate') and resource ('histogram chart'), and mentions what the chart visualizes (frequency distribution). However, it doesn't explicitly differentiate from sibling tools like 'generate_bar_chart' or 'generate_column_chart' that might also show frequency distributions, which prevents a perfect score.

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 mentions that histograms can 'observe data distribution' and 'identify data concentration areas and extreme points,' but doesn't specify when a histogram is preferable over other chart types like box plots or violin charts for similar purposes. There are no explicit when/when-not statements or named alternatives.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/antvis/mcp-server-chart'

If you have feedback or need assistance with the MCP directory API, please join our Discord server