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proxy_detail

Obtain proxy statement details for Korean stocks: solicitor, shares held, solicitation period, and e-proxy methods. Enter ticker or company name to parse the latest filing.

Instructions

desc: 위임장/proxy 상세 — 권유자 보유주식, 권유기간, 대리인, 전자위임장 방법. when: [tier-5 Detail] 위임장 권유자 정보가 필요할 때. ticker만 넣으면 최신 위임장 공시를 자동 탐색. rule: get_document()로 원문 파싱. Section I(권유자) + Section II-2(위임 방법) 추출. 기업 식별이 불확실하면 corp_identifier 먼저 호출. ref: proxy_search, proxy_direction, corp_identifier

Args: ticker: 종목코드 또는 회사명 (예: "고려아연", "010130"). rcept_no 미입력 시 위임장 공시 자동 탐색. rcept_no: 접수번호 직접 지정. 입력 시 ticker보다 우선. format: "md" (기본) 또는 "json"

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNomd
tickerNo
rcept_noNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries full burden. It discloses data retrieval behavior: auto-searches latest filing, parses document via get_document(), extracts specific sections, and parameter priority. However, it does not explicitly state read-only behavior or potential side effects, though mutation is clearly not intended.

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 clear sections (desc, when, rule, ref, args) and front-loaded with key info. Could be slightly more concise, but each sentence adds value.

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 an output schema exists (though not provided), the description adequately covers input parameters and behavioral rules. It does not describe error handling or edge cases, but the auto-discovery and priority rules provide sufficient context for correct invocation.

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?

Schema coverage is 0%, but the description provides thorough explanations: ticker (with example and auto-discovery behavior), rcept_no (priority and direct input), and format (default and options). 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 provides proxy detail (solicitor shares, period, agent, electronic method) and distinguishes from siblings like proxy_search and proxy_direction via the 'ref' section. The verb is implicit but fully contextualized.

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 'when' section explicitly states when to use (need proxy solicitor info) and the 'rule' suggests calling corp_identifier if entity is uncertain. It lists reference tools but does not explicitly state when NOT to use this tool versus alternatives.

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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