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kyusik-yang

open-assembly-mcp

by kyusik-yang

analyze_legislator

Retrieve a comprehensive legislator profile including personal info, all sponsored bills, and career statistics in a single call.

Instructions

국회의원 종합 프로필을 한 번에 조회합니다 (체인 도구).

One-shot legislator profile: member info + all sponsored bills + career statistics. Internally chains get_member_info and search_bills.

When to use: • When you need a complete picture of one legislator's activity in one call. • Instead of calling get_member_info + search_bills(proposer=name) separately.

Note: Fetches up to 500 sponsored bills (5 pages of 100). For very prolific legislators total_count will be correct, but all[] may be truncated at 500.

Args: name: 의원 한글명 — 필수 (예: "이준석", "홍길동") If multiple members share the name, the first result is used and all matches are listed in member_all_matches. assembly: 대수 (기본값: "22", "16"-"22" 지원)

Returns: member: 의원 정보 dict (정당, 선거구, 위원회, 사진 등) member_all_matches: 동명이인이 있을 때 전체 목록 bills: - total: 전체 발의 건수 (API 기준) - retrieved: 실제 가져온 건수 (최대 500) - by_result: 처리결과별 건수 {원안가결: N, 계류: N, ...} - by_committee: 소관위원회별 건수 - by_year: 발의 연도별 건수 - recent: 최근 발의 5건 - all: 전체 발의 법안 목록 (최대 500건) errors: 서브 호출별 에러 (없으면 빈 dict) message: 요약 메시지

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
assemblyNo22

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. It discloses internal chaining, truncation at 500 bills, and handling of name ambiguity (first result, all matches). It does not explicitly state read-only behavior, but the composite nature and 'analyze' verb imply no side effects.

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 labeled sections (When to use, Note, Args, Returns). It is longer than minimal but each sentence adds value; no filler.

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

Completeness5/5

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

Given the tool complexity (chaining two tools, multiple return fields), the description covers all important aspects: usage, return structure with examples, error handling, and limitations. The output schema exists, but description still adds clarity on specific fields.

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?

Despite context showing 0% schema coverage, the description provides detailed parameter guidance: name is required with Korean examples, assembly has default '22' and supported range. This adds meaning beyond the schema's basic title.

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 is a one-shot legislator profile that chains get_member_info and search_bills, providing a complete picture. It distinguishes from sibling tools by naming the chained tools and explicitly positioning itself as an alternative to separate calls.

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

Usage Guidelines5/5

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

Explicitly states when to use (needing complete picture in one call) and when not to (instead of separate calls). Also includes a note about the 500-bill limit, helping the agent set expectations.

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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