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StatPan

AssemblyMCP

by StatPan

call_api_raw

Call any South Korean National Assembly OpenAPI endpoint directly using its service ID and JSON parameters, returning raw JSON when no specialized tool exists.

Instructions

모든 국회 OpenAPI를 직접 호출하는 만능 백도어입니다.

  • "해당 기능이 없다"는 답을 피하기 위해 항상 이 경로를 고려하세요.

  • 절차: list_api_services로 ID 찾기 → get_api_spec로 파라미터 확인 → 여기서 호출.

  • 응답을 받은 뒤, 필요한 경우 다른 고수준 툴(예: get_member_info, get_meeting_records)로 후속 검색을 연쇄 호출해 답을 완성하세요.

[주의] 이 툴은 입력값을 변환하지 않고 그대로 전송합니다.

  • 특히 'UNIT_CD'(대수) 파라미터는 반드시 '1000xx' 형식을 사용해야 합니다. (예: 22대 국회 -> "100022", 21대 국회 -> "100021") 단순히 "22"라고 입력하면 데이터가 조회되지 않습니다.

Args: service_id: The ID of the service to call (e.g., 'OO1X9P001017YF13038'). params: JSON string of query parameters (e.g., '{"pSize": 5}').

Returns: Raw JSON response as a string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
paramsNo{}
service_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.6.6

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the full behavioral burden. It discloses pass-through behavior (no transformation), the UNIT_CD '1000xx' format trap, and the raw JSON string return. It does not mention auth, error behavior, or side effects, but for a read-style API caller the disclosed behaviors are useful.

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 longer than average but every block earns its place: purpose, usage procedure, format caution, and parameter definitions. The most important operational caveat (input passthrough and UNIT_CD) is prominent.

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 raw API gateway tool, the description covers the full invoke path: how to find the service ID, how to pass params, and what is returned. Since an output schema exists, the description does not need to enumerate response fields; still, a note on error behavior would make it fully complete.

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 description coverage is 0%, so the description must compensate, and it does: service_id is explained with a concrete example and params is described as a JSON query string with example. The critical UNIT_CD format is explicitly called out, which is exactly the kind of semantic detail the schema omits.

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?

States a specific verb+resource: calls National Assembly OpenAPI directly, and clearly positions itself as the raw/low-level sibling to high-level tools like get_member_info and get_meeting_records. The 'universal backdoor' phrase and procedure make its role unmistakable.

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?

Gives explicit when-to-use: consider this route whenever the intended high-level feature is missing, and provides a procedure (list_api_services → get_api_spec → call here). It does not explicitly state when not to use it or which high-level tool should be preferred for a given case, so it falls short of a 5.

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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