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isnow890

Naver Search MCP Server

search_image

Search and retrieve images from Naver using a query with options to filter by sort method, display count, and start position.

Instructions

Perform a search on Naver Image. (네이버 이미지 검색)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
displayNoNumber of results to display (default: 10)
queryYesSearch query
sortNoSort method (sim: similarity, date: date)
startNoStart position of search results (default: 1)

Implementation Reference

  • The core handler function for search_image tool that performs the actual Naver image search using the NaverSearchClient.
    /**
     * 이미지 검색 핸들러
     */
    export async function handleImageSearch(params: SearchArgs) {
      return client.search("image", params);
    }
  • Input schema (SearchArgsSchema) used for validating parameters to the search_image tool, including query, display count, start position, and sort order.
    export const SearchArgsSchema = z.object({
      query: z.string().describe("검색어"),
      display: z.number().optional().describe("한 번에 가져올 결과 수 (기본 10)"),
      start: z.number().optional().describe("검색 시작 위치 (기본 1)"),
      sort: z
        .enum(["sim", "date"])
        .optional()
        .describe("정렬 방식 (sim: 유사도, date: 날짜순)"),
    });
  • src/index.ts:162-175 (registration)
    MCP server registration of the 'search_image' tool, specifying description, input schema, and handler that delegates to searchToolHandlers.search_image.
    server.registerTool(
      "search_image",
      {
        description:
          "🖼️ Search for images with Korean context and relevance. Find visual content, infographics, charts, and photos related to your search terms. Great for visual research and content discovery. For recent images or current visual content, use get_current_korean_time first. (네이버 이미지 검색 - 시각적 컨텐츠 발견, 최근 이미지나 현재 시각 자료를 찾을 때는 먼저 get_current_korean_time으로 현재 시간을 확인하세요)",
        inputSchema: SearchArgsSchema.shape,
      },
      async (args) => {
        const result = await searchToolHandlers.search_image(args);
        return {
          content: [{ type: "text", text: JSON.stringify(result, null, 2) }],
        };
      }
    );
  • Wrapper function in searchToolHandlers that logs args, validates with schema, and delegates to the handleImageSearch handler.
    search_image: (args) => {
      console.error("search_image called with args:", JSON.stringify(args, null, 2));
      return handleImageSearch(SearchArgsSchema.parse(args));
    },
Behavior2/5

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

No annotations are provided, so the description carries full burden. It only states what the tool does ('Perform a search') without disclosing behavioral traits like rate limits, authentication requirements, response format, pagination behavior, or error conditions. For a search tool with no annotation coverage, this is a significant gap.

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 extremely concise with just two short phrases that directly state the tool's purpose. Every word earns its place, and the Korean translation adds value for users familiar with that language without being redundant.

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?

For a search tool with 4 parameters, no annotations, and no output schema, the description is inadequate. It doesn't explain what the tool returns (image URLs, metadata, thumbnails?), doesn't mention rate limits or authentication, and provides no context about the Naver Image service. The description should do more given the complexity and lack of structured information.

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 4 parameters thoroughly. The description adds no parameter information beyond what's in the schema. Baseline 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 action ('Perform a search') and resource ('Naver Image'), making the purpose immediately understandable. However, it doesn't explicitly differentiate this image search tool from its many sibling search tools (like search_blog, search_news, etc.), which would require a 5.

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 17 sibling tools including many other search types (academic, blog, news, etc.), there's no indication of when image search is appropriate versus other search tools or the datalab_* tools.

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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