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get_user_stocks

Retrieve articles bookmarked by a specific Qiita user. Use this tool to access saved content by providing a user ID and optional pagination parameters.

Instructions

Get articles that a user has stocked (bookmarked).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_idYesUser ID
pageNoPage number (1-100, default: 1)
per_pageNoItems per page (1-100, default: 20)

Implementation Reference

  • Handler code in the CallToolRequestSchema that executes the get_user_stocks tool by validating the user_id argument and calling the QiitaClient's getUserStocks method.
    case "get_user_stocks": {
      if (!args?.user_id) {
        throw new Error("user_id is required");
      }
      const result = await qiitaClient.getUserStocks(
        args.user_id as string,
        args?.page as number | undefined,
        args?.per_page as number | undefined
      );
      return {
        content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
      };
    }
  • Schema definition for the get_user_stocks tool, including input schema with properties for user_id (required), page, and per_page.
    {
      name: "get_user_stocks",
      description: "Get articles that a user has stocked (bookmarked).",
      inputSchema: {
        type: "object",
        properties: {
          user_id: {
            type: "string",
            description: "User ID",
          },
          page: {
            type: "number",
            description: "Page number (1-100, default: 1)",
            minimum: 1,
            maximum: 100,
          },
          per_page: {
            type: "number",
            description: "Items per page (1-100, default: 20)",
            minimum: 1,
            maximum: 100,
          },
        },
        required: ["user_id"],
      },
    },
  • Helper method in QiitaClient class that implements the core logic of fetching a user's stocked articles from the Qiita API endpoint /users/{userId}/stocks.
    async getUserStocks(
      userId: string,
      page: number = 1,
      perPage: number = 20
    ): Promise<any[]> {
      const params = new URLSearchParams({
        page: page.toString(),
        per_page: perPage.toString(),
      });
    
      return this.fetch(`/users/${userId}/stocks?${params.toString()}`);
    }
  • src/index.ts:303-305 (registration)
    Registration of the list_tools capability where the tools array (including get_user_stocks) is returned.
    server.setRequestHandler(ListToolsRequestSchema, async () => {
      return { tools };
    });
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the action ('Get articles') but does not cover critical aspects like whether this is a read-only operation, potential rate limits, authentication needs, or what the return format looks like (e.g., list of articles with details). This leaves significant gaps for a tool with three parameters.

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 directly states the tool's purpose without any unnecessary words. It is front-loaded and wastes no space, making it highly concise and well-structured for quick understanding.

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 a tool with three parameters, no annotations, and no output schema, the description is incomplete. It fails to explain behavioral traits, return values, or usage context, which are essential for an agent to invoke the tool correctly and handle its output. The high schema coverage does not compensate for these missing elements.

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 schema description coverage is 100%, meaning all parameters are documented in the schema itself. The description does not add any additional meaning beyond implying that 'user_id' identifies the user whose stocked articles are retrieved, which is already clear from the schema. Thus, it meets the baseline for adequate but not enhanced parameter semantics.

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 verb ('Get') and resource ('articles that a user has stocked'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'get_items_by_user' or 'search_items', which might also retrieve user-related content, so it falls short of 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, such as how it differs from 'get_items_by_user' or 'search_items'. It lacks explicit context, prerequisites, or exclusions, leaving the agent to infer usage based on the tool name alone.

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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