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corporate_deals

Monitor corporate equity acquisitions, disposals, and affiliate investments from Korean DART disclosures. Track related-party transactions and portfolio changes.

Instructions

desc: 회사·지분 인수/매각(타법인주식·출자증권 취득/처분) 공시. 계열사 출자·회수, 일감몰아주기·내부거래·특수관계자 거래 모니터링. include_details=True면 거래 상대방/금액/자산대비비율/특수관계 힌트. when: 어떤 회사를 인수했나/팔았나(지분 취득·처분·양수도), 계열사·자회사 출자와 회수, 투자 포트폴리오 재편, 자회사 주요경영사항 흐름, 일감몰아주기 신호. 단일판매·공급계약(수주/해지·매출대비)은 order_contracts. 합병·분할·주식교환은 corporate_restructuring. rule: DART list.json — 타법인주식: B/I + 양수/양도/취득/처분결정 키워드. 자회사 주요경영사항/자율공시/[기재정정] 플래그 별도 표시. 기본 lookback 24개월. include_details=True 시 최근 N건 원문 파싱(상대방·관계·금액·비율·목적). scope: summary 통합 timeline / equity_deal 타법인주식 (단일공급계약은 order_contracts로 분리됨) include_details: True면 원문 파싱 추가 (DART 호출 N회 증가). details_limit: 원문 파싱 건수 (기본 5, 최대 10). ref: order_contracts (단일공급계약 수주/해지/일감), corporate_restructuring (합병/분할/주식교환), ownership_structure (지분 변화), evidence (원문 확인)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
scopeNosummary
formatNomd
companyYes
end_dateNo
start_dateNo
details_limitNo
include_detailsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Despite no annotations, the description reveals behavioral aspects: it uses DART list.json with keyword filtering, defaults to 24-month lookback, and explains that include_details triggers additional DART calls. It does not cover destructive behavior (likely read-only) but is transparent about data sourcing and processing.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is structured into labeled sections (desc, when, rule, etc.) and front-loads the purpose. It is somewhat lengthy but well-organized, allowing quick scanning.

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

Completeness4/5

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

Given the complexity, no annotations, and 0% schema coverage, the description provides substantial context: data source, rules, parameter behavior, and cross-references to sibling tools. It lacks detail on output structure but is sufficient for an agent to understand usage.

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?

The description explains scope, include_details, and details_limit with defaults and limits, but does not cover company, start_date, end_date, or format. Since schema coverage is 0%, the description partially compensates but leaves gaps.

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 explicitly states it handles corporate deals such as equity acquisitions/disposals and subsidiary investments, and distinguishes from siblings like order_contracts and corporate_restructuring. The verb '공시' (disclose) and the listed scenarios clarify the tool's purpose.

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

Usage Guidelines5/5

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

The description provides a clear 'when' section listing use cases and explicitly points to alternative tools (order_contracts, corporate_restructuring) for different transaction types, helping the agent choose correctly.

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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