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anboyu-alt

dart-risk-mcp

by anboyu-alt

analyze_company_risk

Analyze investment risk for a Korean company by detecting unfair trading signals from recent DART public disclosures. Provide company name or stock code and optional lookback period.

Instructions

기업명 또는 종목코드로 최근 공시 기반 투자 위험도를 분석한다.

Args: company_name: 기업명 (예: "에코프로") 또는 종목코드 6자리 (예: "086520") lookback_days: 조회 기간 (기본 90일, 최대 365일)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
company_nameYes
lookback_daysNo

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, and the description does not disclose behavioral traits like data freshness, permission requirements, or whether the operation is read-only. It only mentions risk analysis based on disclosures.

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?

The description is brief: a single sentence stating the purpose followed by a parameter list. No extraneous information, front-loaded with the main action.

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?

For a tool with two parameters and an output schema, the description covers the purpose and inputs adequately. It does not describe the output format, but the presence of an output schema likely covers that. Siblings exist but the description is self-contained.

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?

The input schema has 0% description coverage, but the description provides meaningful context: company_name expects a company name or 6-digit code, and lookback_days defaults to 90 days with a max of 365. This adds significant value beyond the schema.

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 it analyzes investment risk based on recent disclosures using company name or stock code. It distinguishes itself from sibling tools like check_disclosure_risk by focusing on a broader risk analysis.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus alternatives such as check_disclosure_risk or scan_financial_anomaly. The description only states what it does, not when to prefer it.

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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