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홈택스 원천세 정기신고 기본정보 저장

hometax__tax__withholding__regular_report__basic_save
Destructive

REQUIRES prior hometax__session__login call with same account_link_id. Save basic taxpayer/report information into a regular-withholding draft. 호출마다 토큰 1소진

Input Schema

NameRequiredDescriptionDefault
draft_idYesDraft ID returned by init
draft_modeNo작성 방식. new(기본값)는 새 신고서로 작성하며, 이미 작성 중인 신고서가 있으면 그것을 지우고 시작합니다. resume 은 작성 중인 신고서를 이어서 씁니다. init 과 basic_save 에 같은 값을 보내 주세요.
basic_documentYesWithholding basic document payload
account_link_idNoAccount link ID (UUID v4). Optional — the server auto-resolves from your API key when omitted. Provide explicitly only when you have multiple certificates for the same provider. Each institution has a separate ID (Hometax != NHIS != NPS != FourInsure).
idempotency_keyYesIdempotency key for safe retry
expected_state_versionYesExpected draft state version

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.6/5.0
Behavior4/5

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

Adds context the annotations do not: the authentication prerequisite, that the write targets a draft rather than a filed return, and a per-call token cost ('호출마다 토큰 1소진'). It does not flag the destructive behavior implied by destructiveHint=true (draft_mode=new wipes an existing draft), but the schema documents that, so no contradiction.

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?

Three short sentences with the prerequisite front-loaded and zero filler; each clause carries information. The mixed Korean/English cost sentence is compact but slightly less immediately parseable than the rest.

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?

For a mutating step in a multi-call report workflow with a nested payload and optimistic-concurrency parameters, the description covers the auth prerequisite and cost but omits the workflow position and what happens to prior draft data. The rich schema compensates partially, leaving this at minimum-viable-plus.

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 draft_id, draft_mode, expected_state_version, idempotency_key and account_link_id are already fully documented. The description only restates the account_link_id linkage; it adds nothing about the nested basic_document payload, so the baseline of 3 applies.

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?

States a specific verb ('Save') plus the resource ('basic taxpayer/report information') and the target container ('a regular-withholding draft'), which is enough to separate it from init/preview/review/submit siblings. It stops short of explicitly contrasting with detail_save, which is the nearest neighbor.

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

Usage Guidelines3/5

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

Gives one real precondition — a prior hometax__session__login with the same account_link_id — which is useful. It does not state where this step sits in the init → basic_save → detail_save → submit flow, nor when to prefer it over detail_save, so the ordering is left to inference.

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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