MyFSS

MyFSS MCP의 get_document 도구는 문서 전문을 반환합니다 — 첨부 HWP를 마크다운으로 변환한 본문. [Purpose] - To read and quote a found document — summary·snippet are never quoting grounds. [Usage] 1. "그 자료 본문 보여줘" → ntt_id=12345 2. "길어서 잘렸는데 이어서" → ntt_id=12345, offset_chars=60000 3. "앞부분만 짧게" → ntt_id=12345, max_chars=8000 [Response] - { ntt_id, date, board, source, title, nature, topics, depts, summary, url, attachments:[{file_name, ext, parsed}], body_total_chars, offset_chars, truncated, body } - truncated=true means offset_chars+max_chars < body_total_chars — raise offset_chars to continue. - Unknown id returns { error: "ntt_id {n} 없음" }. - body = "(본문 없음)" when nothing was parsed and no HTML 본문 exists. [Rules] - body = parsed attachments (parsed=true) joined under "## 첨부: {file_name}" heads; with no attachment body it falls back to the detail-page HTML body (mostly FSC). - attachments with parsed=false are NOT in body — disclose the gap, never hide it. - Continue with offset_chars; raising max_chars grows the whole response.

MyFSS MCP의 list_recent 도구는 최신 문서 목록을 게시일 내림차순으로 반환합니다. [Purpose] - Query-less skim of "what came out lately", optionally narrowed by 게시판. [Usage] 1. "최근 자료 뭐 있어" → (인자 없음 — limit=20) 2. "감리 지적사례 최신 10건" → board="sanction_case", limit=10 3. "금융위 보도자료 최신" → board="fsc_press" [Response] - { results:[{ntt_id, date, board, source, title, nature, topics, depts, summary, url}] } - No total/offset — this tool has no pagination, and no snippet (there is no query). [Rules] - board takes the English key while the response returns the 한글 라벨 — same asymmetry as search_documents; never feed the response board back as a parameter. - Sorted by 게시일(date) — retroactively registered old documents never surface as new. - For period/topic narrowing or larger volumes use search_documents.

MyFSS MCP의 list_tags 도구는 검색 필터에 넣을 수 있는 어휘를 반환합니다 — 주제 태그·문서 성격·게시판·주요 담당부서. [Purpose] - Which values actually exist for search_documents' topics·nature·board·dept. Invented values return 0 rows, not an error — check here before a futile search. [Usage] 1. "어떤 주제로 검색할 수 있어?" → (인자 없음) [Response] - { topics:[{name, n}], natures:[{name, n}], boards:[{key, label, n}], depts_top25:[{name, n}] } - n = 그 값이 붙은 문서 수. - boards[].key is what the board parameter takes; boards[].label is what responses show. [Rules] - topics is exact-match — no partial/synonym matching; pass a name from here verbatim. - dept is the opposite, partial match — a fragment like "회계감리" works. - depts_top25 is only the top 25 — a 부서 missing from the list still exists.

MyFSS MCP의 search_documents 도구는 금융감독원(FSS)·금융위원회(FSC) 회계·공시 자료를 전문검색합니다. [Purpose] - What 감독당국 checks — 심사·감리 지적사례·감독지침·모범사례 등 게시판 11종. - Filters alone (no query) sweep a topic. [Usage] 1. "전환사채 콜옵션 관련 감독원 자료" → query="전환사채 콜옵션" 2. "작년 감리 지적사례 전부" → board="sanction_case", date_from="2025-01-01", date_to="2025-12-31" 3. "내부회계관리제도 주제로 20건" → topics=["내부회계관리제도"], limit=20 [Response] - { total, showing, offset, note, results:[{ntt_id, date, board, source, title, nature, topics, depts, summary, url, snippet?}] } - total = 전체 건수, showing = 이번 페이지 — paginate with offset. - source: "fss"=금융감독원, "fsc"=금융위원회. - snippet marks matches with [ … ]; only when a query matched. [Rules] - board is asymmetric: param = English key, response = 한글 라벨 — never feed it back. - topics·depts are joined strings (", " / " / "), not arrays — split first. - ≥3-char tokens → FTS (AND, rank); 1~2-char → LIKE. No query → 게시일 DESC, no snippet. - Corpus = 2010 onward (absent = 미수록); quote body via get_document, not summary·snippet.