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edinet-document-fetchlisted

Download a single EDINET disclosure document binary (PDF / XBRL ZIP / CSV) by docID. Returns a time-limited signed URL from Kokai's private storage proxy. Use after `edinet-document-search` to retrieve the actual filing for citation or analysis.
Kokai-Data/japan-business-intelligence · ★ 1 · Data & Documents · score 72
Install: claude install-skill Kokai-Data/japan-business-intelligence
## When to use Use this skill when: - You have a `docID` from `edinet-document-search` and need the actual document binary. - The user wants to view a specific 有価証券報告書 PDF, 四半期報告書 XBRL, or 大量保有報告書 file. - You're building a citation with a direct link to the source document. - XBRL parsing or financial-statement extraction (manual / external tool) is the next step. ## How to invoke Call the kokai MCP server's `get_edinet_document` tool: ```json { "name": "get_edinet_document", "arguments": { "docID": "<8-char docID from search_edinet_documents>", "type": "2" } } ``` ### `type` parameter (FSA 公式 §3-2-1) | Code | Format | Content | |---|---|---| | `1` | ZIP | 提出本文書 + 監査報告書 (**XBRL 含む**) | | `2` | PDF | 提出本文書 + 監査報告書 (PDF 形式、最も読みやすい) | | `3` | ZIP | 代替書面・添付文書 | | `4` | ZIP | 英文ファイル | | `5` | ZIP | CSV (XBRL→CSV 変換版) | ### Size caps (Phase 1 limits) - PDF (type=2): **50 MB** - ZIP (type=1/3/4/5): **100 MB** Oversize → tool returns `edinet_document_too_large` error with `sizeBytes` / `maxBytes` literal (Phase 2 で大型書類対応検討)。 ## Output structure ```json { "docID": "S1000001", "type": "2", "format": "pdf", "storageBucket": "edinet-documents", "storagePath": "S1000001/2/<timestamp>.pdf", "signedUrl": "https://...supabase.co/storage/v1/object/sign/edinet-documents/...", "sizeBytes": 1234567, "source_authority": "official", "attribution_text": "出典: 金融庁 EDINET", "boundary": { "signedUrlSource": "kokai_storage_proxy", "signedUrlTtlSecond