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재직·보험료 확인 인증 요청

req_employment

재직·보험료 확인을 위한 본인 간편인증을 요청합니다. 휴대폰 알림 발송과 접수 과금이 발생하므로 사용자 확인 후 호출하세요. transactionId와 status를 반환하면 휴대폰 승인을 안내하고, 승인 후 get_employment에 transactionId를 전달하세요. 승인 대기 중 인증 요청을 반복하거나 자동 승인하지 마세요. [호출당 20포인트]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes본인 이름
phoneYes본인 명의 휴대전화 번호 (숫자만)
birthDateYes생년월일 8자리 (YYYYMMDD)
authProviderYes휴대폰에서 승인할 간편인증 방식
insuranceYearsNo보험료 조회 연수 (1~3, 생략 시 1)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.4/5.0
Behavior4/5

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

Annotations mark it non-read-only and non-idempotent, and the description adds concrete behavioral facts beyond them: a phone push notification is sent, a per-call charge of 20 points applies, and transactionId plus status are returned. It does not cover edge cases like auth failure or expiry, so a small gap remains.

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?

Front-loads the purpose, then the cost caveat, the return values, and the flow into get_employment, with no filler sentences. It is dense but every clause carries actionable information, so it stays readable despite the packing.

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?

For an async, side-effecting authentication request with no output schema, the description supplies the return values (transactionId, status), the user-confirmation prerequisite, the cost, the anti-repeat rule, and the downstream tool, so an agent has everything needed to invoke it correctly.

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 all five parameters (name, phone, birthDate, authProvider, insuranceYears) are already documented in the schema. The description adds no parameter-level meaning such as format or default behavior, so the baseline 3 applies.

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 (요청) and resource (재직·보험료 확인 본인 간편인증) and clearly distinguishes this initiation step from the sibling get_employment, which it names as the follow-up retrieval call. An agent can tell exactly what this tool does without opening the schema.

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?

Gives explicit when-to-use (after user confirmation, since notification/cost occur), the required follow-up (pass transactionId to get_employment after phone approval), and explicit when-not-to (do not repeat requests while approval is pending, do not auto-approve). This is a full routing instruction with exclusions.

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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