Skip to main content
Glama
kokoa-tools

Korean Independence Patriots Merit Records MCP Server

by kokoa-tools

get_merit_list

Retrieve lists of Korean independence patriots' merit records by filtering criteria like name, birth date, honor grade, or movement affiliation from official archives.

Instructions

독립유공자 공훈록 목록을 조회합니다

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
page_indexNo페이지 번호
count_per_pageNo페이지 당 데이터 건수 (최대 50건)
mng_noNo관리번호
name_koNo성명(한글)
name_chNo성명(한자)
diff_nameNo이명
birthdayNo생년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))
lastdayNo사망년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))
sexNo성별 (0: 여, 1: 남)
register_large_divNo본적대분류
register_mid_divNo본적중분류
judge_yearNo포상년도
hunkukNo훈격
workout_affilNo운동계열
achivementNo공훈록

Implementation Reference

  • Handler logic in MCP call_tool that dispatches get_merit_list, parses arguments, calls the API wrapper, formats response, and returns TextContent
    if name == "get_merit_list":
        # 공훈록 목록 조회
        if not isinstance(arguments, dict):
            arguments = {}
        
        data = await fetch_merit_list(
            page_index=arguments.get("page_index", 1),
            count_per_page=min(arguments.get("count_per_page", 10), 50),
            response_type="JSON",
            mng_no=arguments.get("mng_no"),
            name_ko=arguments.get("name_ko"),
            name_ch=arguments.get("name_ch"),
            diff_name=arguments.get("diff_name"),
            birthday=arguments.get("birthday"),
            lastday=arguments.get("lastday"),
            sex=arguments.get("sex"),
            register_large_div=arguments.get("register_large_div"),
            register_mid_div=arguments.get("register_mid_div"),
            judge_year=arguments.get("judge_year"),
            hunkuk=arguments.get("hunkuk"),
            workout_affil=arguments.get("workout_affil"),
            achivement=arguments.get("achivement")
        )
        
        result_json = format_response(data)
        logger.debug(f"공훈록 목록 조회 결과: {result_json}")
        
        return [
            TextContent(
                type="text",
                text=result_json
            )
        ]
  • Input schema defining parameters for get_merit_list tool in list_tools
    inputSchema={
        "type": "object",
        "properties": {
            "page_index": {
                "type": "integer",
                "description": "페이지 번호",
                "default": 1
            },
            "count_per_page": {
                "type": "integer",
                "description": "페이지 당 데이터 건수 (최대 50건)",
                "default": 10,
                "maximum": 50
            },
            "mng_no": {
                "type": "string",
                "description": "관리번호"
            },
            "name_ko": {
                "type": "string",
                "description": "성명(한글)"
            },
            "name_ch": {
                "type": "string",
                "description": "성명(한자)"
            },
            "diff_name": {
                "type": "string",
                "description": "이명"
            },
            "birthday": {
                "type": "string",
                "description": "생년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))"
            },
            "lastday": {
                "type": "string",
                "description": "사망년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))"
            },
            "sex": {
                "type": "string",
                "description": "성별 (0: 여, 1: 남)",
                "enum": ["0", "1"]
            },
            "register_large_div": {
                "type": "string",
                "description": "본적대분류"
            },
            "register_mid_div": {
                "type": "string",
                "description": "본적중분류"
            },
            "judge_year": {
                "type": "string",
                "description": "포상년도"
            },
            "hunkuk": {
                "type": "string",
                "description": "훈격",
                "enum": list(HUNKUK_CODES.keys())
            },
            "workout_affil": {
                "type": "string",
                "description": "운동계열",
                "enum": list(WORKOUT_AFFIL_CODES.keys())
            },
            "achivement": {
                "type": "string",
                "description": "공훈록"
            }
        }
    }
  • Registration of the get_merit_list tool in the list_tools function, decorated with @app.list_tools()
    Tool(
        name="get_merit_list",
        description="독립유공자 공훈록 목록을 조회합니다",
        inputSchema={
            "type": "object",
            "properties": {
                "page_index": {
                    "type": "integer",
                    "description": "페이지 번호",
                    "default": 1
                },
                "count_per_page": {
                    "type": "integer",
                    "description": "페이지 당 데이터 건수 (최대 50건)",
                    "default": 10,
                    "maximum": 50
                },
                "mng_no": {
                    "type": "string",
                    "description": "관리번호"
                },
                "name_ko": {
                    "type": "string",
                    "description": "성명(한글)"
                },
                "name_ch": {
                    "type": "string",
                    "description": "성명(한자)"
                },
                "diff_name": {
                    "type": "string",
                    "description": "이명"
                },
                "birthday": {
                    "type": "string",
                    "description": "생년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))"
                },
                "lastday": {
                    "type": "string",
                    "description": "사망년월일 (YYYYMMDD, 년(1945), 년월(194501), 년월일(19450101))"
                },
                "sex": {
                    "type": "string",
                    "description": "성별 (0: 여, 1: 남)",
                    "enum": ["0", "1"]
                },
                "register_large_div": {
                    "type": "string",
                    "description": "본적대분류"
                },
                "register_mid_div": {
                    "type": "string",
                    "description": "본적중분류"
                },
                "judge_year": {
                    "type": "string",
                    "description": "포상년도"
                },
                "hunkuk": {
                    "type": "string",
                    "description": "훈격",
                    "enum": list(HUNKUK_CODES.keys())
                },
                "workout_affil": {
                    "type": "string",
                    "description": "운동계열",
                    "enum": list(WORKOUT_AFFIL_CODES.keys())
                },
                "achivement": {
                    "type": "string",
                    "description": "공훈록"
                }
            }
        }
    ),
  • Helper function that performs the actual API request to fetch the merit list, with caching and parameter handling
    async def fetch_merit_list(
        page_index: int = 1,
        count_per_page: int = 10,
        response_type: str = "JSON",
        mng_no: Optional[str] = None,
        name_ko: Optional[str] = None,
        name_ch: Optional[str] = None,
        diff_name: Optional[str] = None,
        birthday: Optional[str] = None,
        lastday: Optional[str] = None,
        sex: Optional[str] = None,
        register_large_div: Optional[str] = None,
        register_mid_div: Optional[str] = None,
        judge_year: Optional[str] = None,
        hunkuk: Optional[str] = None,
        workout_affil: Optional[str] = None,
        achivement: Optional[str] = None
    ) -> Dict[str, Any]:
        """
        독립유공자 공훈록 목록을 조회합니다.
        
        Args:
            page_index: 페이지 번호
            count_per_page: 페이지 당 데이터 건수 (최대 50건)
            response_type: 응답 형식 (JSON/XML)
            mng_no: 관리번호
            name_ko: 성명(한글)
            name_ch: 성명(한자)
            diff_name: 이명
            birthday: 생년월일
            lastday: 사망년월일
            sex: 성별
            register_large_div: 본적대분류
            register_mid_div: 본적중분류
            judge_year: 포상년도
            hunkuk: 훈격
            workout_affil: 운동계열
            achivement: 공훈록
            
        Returns:
            공훈록 목록 정보를 담은 딕셔너리
            
        Raises:
            RuntimeError: API 호출 중 오류가 발생한 경우
        """
        # 캐시 키 생성
        cache_params = [
            f"page_{page_index}",
            f"count_{count_per_page}"
        ]
        
        if mng_no:
            cache_params.append(f"mng_{mng_no}")
        if name_ko:
            cache_params.append(f"name_ko_{name_ko}")
        if name_ch:
            cache_params.append(f"name_ch_{name_ch}")
        if diff_name:
            cache_params.append(f"diff_{diff_name}")
        if birthday:
            cache_params.append(f"birth_{birthday}")
        if lastday:
            cache_params.append(f"last_{lastday}")
        if sex:
            cache_params.append(f"sex_{sex}")
        if register_large_div:
            cache_params.append(f"reg_l_{register_large_div}")
        if register_mid_div:
            cache_params.append(f"reg_m_{register_mid_div}")
        if judge_year:
            cache_params.append(f"year_{judge_year}")
        if hunkuk:
            cache_params.append(f"hunkuk_{hunkuk}")
        if workout_affil:
            cache_params.append(f"workout_{workout_affil}")
        if achivement:
            cache_params.append(f"achi_{achivement}")
        
        cache_key = f"merit_list_{'_'.join(cache_params)}"
        
        # 캐시 확인
        cached_data = cache_manager.get(cache_key)
        if cached_data:
            return cached_data
    
        # API 요청 파라미터 구성
        params = build_query_params(
            nPageIndex=page_index,
            nCountPerPage=count_per_page,
            type=response_type,
            mngNo=mng_no,
            nameKo=name_ko,
            nameCh=name_ch,
            diffName=diff_name,
            birthday=birthday,
            lastday=lastday,
            sex=sex,
            registerLargeDiv=register_large_div,
            registerMidDiv=register_mid_div,
            judgeYear=judge_year,
            hunkuk=hunkuk,
            workoutAffil=workout_affil,
            achivement=achivement
        )
        
        # API 요청
        endpoint = f"{BASE_URL}/contribuMeritList.do"
        logger.info(f"공훈록 목록 요청: {endpoint}, 파라미터: {params}")
        
        try:
            async with httpx.AsyncClient(timeout=30.0) as client:
                response = await client.get(endpoint, params=params)
                response.raise_for_status()
                
                # 응답 형식에 따라 처리
                if response_type.upper() == "JSON":
                    result = response.json()
                else:  # XML
                    # XML 응답 파싱
                    result = parse_xml_response(response.text)
                
                if "error" not in result:
                    # 캐시 저장
                    cache_manager.set(cache_key, result)
                
                return result
        except httpx.TimeoutException:
            logger.error("API 요청 시간 초과")
            raise RuntimeError("API 요청 시간이 초과되었습니다. 잠시 후 다시 시도해주세요.")
        except httpx.HTTPStatusError as e:
            logger.error(f"HTTP 상태 오류: {e.response.status_code} - {str(e)}")
            raise RuntimeError(f"HTTP 상태 오류: {e.response.status_code}. 요청을 처리할 수 없습니다.")
        except httpx.HTTPError as e:
            logger.error(f"HTTP 요청 오류: {str(e)}")
            raise RuntimeError(f"HTTP 요청 오류: {str(e)}")
        except Exception as e:
            logger.error(f"공훈록 목록 조회 중 오류 발생: {str(e)}")
            raise RuntimeError(f"공훈록 목록 조회 중 오류 발생: {str(e)}")
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. While '조회합니다' (retrieve) implies a read operation, the description doesn't mention pagination behavior (implied by page_index/count_per_page parameters), rate limits, authentication requirements, or what format the results will be in. For a tool with 15 parameters and no output schema, this leaves significant behavioral questions unanswered.

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 states exactly what the tool does without any wasted words. It's front-loaded with the core purpose and doesn't include unnecessary elaboration. Every word earns its place in this minimal but complete statement of function.

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 tool with 15 parameters, no annotations, and no output schema, the description is insufficiently complete. While concise, it doesn't address critical context like what the return data looks like, how pagination works, whether all parameters are optional filters, or how this tool relates to its siblings. The agent has significant gaps in understanding how to effectively use this tool despite the excellent parameter documentation in the schema.

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%, with all 15 parameters well-documented in the schema itself. The description doesn't add any parameter-specific information beyond what's already in the schema. According to guidelines, when schema_description_coverage is high (>80%), the baseline 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 action ('조회합니다' - retrieve/list) and resource ('독립유공자 공훈록 목록' - independence merit record list). It's specific about what data is being accessed. However, it doesn't distinguish this tool from its siblings like get_hunkuk_codes or get_workout_affil_codes, which appear to retrieve related but different data.

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. There's no mention of when this list retrieval is appropriate versus using get_public_report or other sibling tools. The agent must infer usage purely from the tool name and description without any contextual guidance.

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/kokoa-tools/e-gonghun-mcp'

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