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anboyu-alt

dart-risk-mcp

by anboyu-alt

scan_financial_anomaly

Detect early signs of accounting fraud and financial distress by comparing accounts receivable, inventory, cash flow, and capital erosion year-over-year.

Instructions

재무제표 4개 지표(매출채권·재고자산·현금흐름·자본잠식)를 전년 대비로 비교해 분식·부실 초기 조짐을 탐지합니다.

Args: company_name: 기업명 또는 종목코드(6자리). year: 사업연도(예: "2024"). 빈 값이면 직전 연도. report_type: "annual"(사업보고서) | "half"(반기) | "q1" | "q3".

Returns: 지표별 당기/전기/Δ 표 + 이상 징후별 쉬운 설명 텍스트.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_nameYes
yearNo
report_typeNoannual

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does not disclose behavioral traits such as read-only hint, side effects, or required permissions. The description only states what the tool does, not its behavioral profile.

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 concise with two sentences for purpose and a bullet-like Args list. It is front-loaded and free of fluff, though the structure could be slightly more organized.

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 presence of an output schema, the description adequately covers what the tool does and how to use it. It does not address limitations, prerequisites, or data sources, but is sufficient for basic usage.

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

Parameters5/5

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

Despite 0% schema description coverage, the description includes an Args section that explains each parameter's meaning and allowed values (e.g., company name or stock code, year with default, report type). This fully 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 tool's purpose: comparing four specific financial indicators year-over-year to detect early signs of accounting fraud or distress. This verb+resource combination is specific and distinguishes it from siblings like compare_financials or check_disclosure_anomaly.

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

Usage Guidelines3/5

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

The description implies usage for initial anomaly detection using the four metrics, but does not explicitly state when to use this tool versus alternatives or when not to use it. There is no mention of exclusions or preferred scenarios.

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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