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anboyu-alt

dart-risk-mcp

by anboyu-alt

get_affiliate_investments

Retrieve affiliate investment details including invested company, purpose, equity ratio, book value, and acquisition date. Identify special purpose companies and related party asset hollowing patterns.

Instructions

타법인 출자현황을 조회합니다 — 이 회사가 어떤 법인들에 돈을 넣었는지.

피출자 법인명·출자목적·기말 지분율·장부가액·최초취득일·피투자사 최근 재무(총자산/순이익)를 사실로 나열합니다. 무자본 M&A 세력의 SPC·자회사망 추적, 특수관계자 자산 공동화 패턴 확인에 활용합니다.

Args: company_name: 기업명 또는 종목코드(6자리). year: 사업연도(예: "2024"). 빈 값이면 직전 연도.

Returns: 출자 내역 표(장부가액 상위 30건) + 요약 사실 + 단위 유의 안내.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNo
company_nameYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It does not indicate whether the tool is read-only, requires authentication, has rate limits, or any side effects. Only the output format is hinted.

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 well-structured with a clear purpose first, followed by use cases, then parameter details and return format. It is appropriately sized, but could be slightly more concise by avoiding some repetition.

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 that the tool has an output schema, the description provides additional context on the return (top 30 entries, summary, unit caution). It is fairly complete for a query tool, though it lacks information on error handling or prerequisites.

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 coverage is 0%, but the description adds meaning by explaining that company_name can be a company name or 6-digit stock code, and year defaults to the previous year if empty. This compensates for the lack of schema descriptions.

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 verb '조회합니다' (inquire) and the resource '타법인 출자현황' (investments in other corporations), and distinguishes from siblings by mentioning specific use cases like tracking SPC/subsidiary networks and asset hollowing patterns.

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 provides context on when to use the tool, such as tracking no-capital M&A groups and identifying asset hollowing patterns, but does not explicitly state when not to use it or mention alternative tools.

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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