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Retrieve original disclosure documents from Korean DART in markdown, XML, or plain text format. Converts DART XML to markdown while preserving headings and tables.

Instructions

공시서류 원문을 마크다운/원본XML/plain text 로 반환합니다. 기본값 markdown — DART 전용 XML 을 자체 파서로 heading·테이블 보존해 변환. 대형 사업보고서는 수백 KB 이상이라 기본 10만 자에서 절단. 사업보고서·반기보고서·주요사항보고 등 모든 공시 원문에 사용.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
rcept_noYes접수번호 14자리 (search_disclosures 의 rcept_no)
formatNo출력 포맷. markdown=DART XML → 마크다운, raw=원본 XML, text=태그 제거markdown
truncate_atNo텍스트 최대 길이 (초과분은 잘림)
Behavior4/5

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

With no annotations, the description discloses key behaviors: format conversion, DART-specific parsing, truncation at 100,000 characters, and applicability to all disclosures. No contradictions or omissions of major traits.

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?

Two efficient sentences, front-loaded with purpose and key details, no waste. Every sentence adds useful information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given 3 parameters, no output schema, the description fully covers purpose, parameters, truncation behavior, and scope. No missing elements for an agent to invoke correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema covers all 3 parameters 100%. Description adds value by explaining truncation limit, linking rcept_no to search_disclosures, and describing format options beyond the enum values.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool returns disclosure documents in markdown/raw/text, specifies DART-specific XML parsing with heading/table preservation, and distinguishes from sibling tools like search_disclosures by focusing on downloading content.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for any disclosure documents and mentions default format and truncation, but lacks explicit guidance on when to use vs siblings. Context is clear enough for an agent to infer purpose.

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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