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summarize

Condense lengthy text into concise summaries with customizable length and language options.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
textYes
maxLengthNo
languageNoen

Implementation Reference

  • The handler function for the 'summarize' tool. It extracts parameters, calls generateSummary, wraps in error handling, and returns MCP-formatted text content.
    async ({ text, maxLength, language }) => {
      return wrapToolExecution(async () => {
        const options: SummarizeOptions = { text, maxLength, language };
        const summary = await generateSummary(options);
    
        return {
          content: [{ type: "text" as const, text: summary }]
        };
      }, {
        errorCode: ERROR_CODES.AI_OPERATION,
        context: "Failed to generate summary",
        rethrow: true
      });
    }
  • Zod schema for input validation of the summarize tool: text (required string), maxLength (optional number), language (optional string).
    {
      text: z.string().min(1),
      maxLength: z.number().optional().default(DEFAULTS.MAX_SUMMARY_LENGTH),
      language: z.string().optional().default(DEFAULTS.SUMMARY_LANGUAGE)
    },
  • The registration function that defines and registers the 'summarize' tool with the MCP server, including schema and handler.
    export function registerSummarizeTool(server: McpServer): void {
      server.tool("summarize",
        {
          text: z.string().min(1),
          maxLength: z.number().optional().default(DEFAULTS.MAX_SUMMARY_LENGTH),
          language: z.string().optional().default(DEFAULTS.SUMMARY_LANGUAGE)
        },
        async ({ text, maxLength, language }) => {
          return wrapToolExecution(async () => {
            const options: SummarizeOptions = { text, maxLength, language };
            const summary = await generateSummary(options);
    
            return {
              content: [{ type: "text" as const, text: summary }]
            };
          }, {
            errorCode: ERROR_CODES.AI_OPERATION,
            context: "Failed to generate summary",
            rethrow: true
          });
        }
      );
    }
  • Helper function that generates the summary using Google Gemini 1.5 Pro AI model via the 'ai' SDK.
    async function generateSummary(options: SummarizeOptions): Promise<string> {
      const { text, maxLength, language } = options;
    
      const prompt = `Please summarize the following text in ${language}, keeping the summary within ${maxLength} characters:\n\n${text}`;
    
      const model = google.chat("gemini-1.5-pro");
      const result = await generateText({
        model: model,
        prompt: prompt,
        maxTokens: maxLength,
        temperature: DEFAULTS.AI_TEMPERATURE
      });
    
      return result.text;
    }
  • src/index.ts:68-68 (registration)
    Invocation of the registerSummarizeTool during server initialization to register the tool.
    registerSummarizeTool(server);
  • TypeScript interface defining the shape of SummarizeOptions used in the tool implementation.
    export interface SummarizeOptions {
      text: string;
      maxLength: number;
      language: string;
    }
Behavior1/5

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

Tool has no description.

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

Conciseness1/5

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

Tool has no description.

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

Completeness1/5

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

Tool has no description.

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

Parameters1/5

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

Tool has no description.

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

Purpose1/5

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

Tool has no description.

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

Usage Guidelines1/5

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

Tool has no description.

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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