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kim-go-chon

dart-notes-mcp

by kim-go-chon

get_company_note

Fetch a specific company's financial statement footnote for a given topic and year from Korean DART electronic disclosure.

Instructions

단일 회사의 특정 토픽 주석 '전문'(본문+표 전체)을 가져온다.

Args: company: 회사명 또는 고유번호. topic: 회계이슈(등록 토픽키 또는 자유어). year: 사업연도. 기본 2024.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
companyYes
topicYes
yearNo
Behavior2/5

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

No annotations are provided, so the description alone must disclose behavioral traits. It only states it fetches full text and lists parameters, but does not cover error handling, authentication needs, rate limits, or what happens when input is invalid.

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 concise: one sentence stating the purpose followed by a structured list of arguments. No unnecessary words.

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

Completeness3/5

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

The description lacks information about the return value beyond 'full text', and does not address error scenarios or output format. For a tool with no output schema, this leaves gaps.

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?

The description provides clear explanations for all three parameters: company (name or ID), topic (accounting issue), and year (default 2024). This adds significant meaning beyond the input schema, which has 0% coverage.

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 retrieves the full text of a specific topic annotation for a single company, using specific verb and resource. However, it does not explicitly differentiate from sibling tools like 'search_company_notes' which likely performs a search, reducing clarity.

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 usage guidelines are provided. The description does not indicate when to use this tool versus alternatives, nor are any prerequisites or exclusions mentioned.

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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