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ChangooLee

MCP OpenDART

by ChangooLee

get_corporate_bond_outstanding

Retrieve corporate bond outstanding data from South Korea's OpenDART system to analyze long-term debt structure and repayment risks for financial reporting.

Instructions

회사채 미상환 내역을 통한 장기 부채 구조 및 상환 리스크 분석

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
corp_codeYes고유번호 (8자리)
bsns_yearYes사업연도 (예: 2024)
reprt_codeYes보고서코드 (11011: 사업보고서, 11012: 반기보고서, 11013: 1분기, 11014: 3분기)
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 of behavioral disclosure. While it mentions 'analysis,' it doesn't specify whether this is a read-only query, what data format it returns, whether it requires authentication, or any rate limits. For a financial data tool with zero annotation coverage, this leaves significant behavioral questions unanswered.

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 a single, efficient sentence that communicates the core purpose. It's appropriately sized for what it does convey, though it could be more front-loaded with critical usage information.

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

Completeness2/5

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

Given the complexity of financial analysis tools, no annotations, and no output schema, the description is incomplete. It doesn't explain what the analysis output looks like, what specific metrics are provided, or how the risk analysis is performed. For a tool that presumably returns structured financial data for analysis, this leaves too much unspecified.

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?

Schema description coverage is 100%, so the schema already documents all three parameters with descriptions. The tool description adds no additional parameter information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description.

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

Purpose4/5

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

The description clearly states the tool's purpose: analyzing long-term debt structure and repayment risk through corporate bond outstanding details. It specifies the resource (corporate bond outstanding) and the analytical outcome (debt structure and risk analysis), though it doesn't explicitly differentiate from sibling tools like get_debt or get_debt_securities_issued.

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?

The description provides no guidance on when to use this tool versus alternatives. With many sibling tools related to debt, bonds, and financial data, there's no indication of when this specific bond outstanding analysis is appropriate versus other debt-related 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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