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preview_verification_report

Read-onlyIdempotent

Run the full verification to preview detected issues, storage path, and approval request before deciding whether to save.

Instructions

네 계층을 모두 돌려 지적 목록과 저장 대상, 승인 요청 문장을 돌려줍니다.

이 도구 하나로 L1·L2·L3·L4 전부를 검사합니다. 중간 도구들은 "왜 그렇게 판정했는지"를 사람에게 보여줄 때 씁니다.

승인토큰 은 지적 내용에서 계산됩니다. 지적이 하나라도 달라지면 토큰이 달라지므로, 사용자가 확인한 내용과 저장될 내용이 같다는 것을 보장할 수 있습니다.

approval_request 문장을 사용자에게 그대로 보여 주고, 명시적으로 승인받은 뒤에만 save_approved_verification 을 호출하십시오.

Returns: 미리보기응답: 지적 목록, 저장 경로, 승인토큰, 지금 쓸 수 있는 결론 후보.

Examples: - 사용: "이 보고서 검증해 주세요" - 사용하지 않음: 사용자 승인 없이 저장 → 절대 금지

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
보고서Yes검증 대상 .docx 파일명 또는 경로
전주차No대조 기준 직전 주차2026-W34
기준주차No검증 대상 주차2026-W35
원본디렉터리No원본 엑셀 디렉터리data/원본

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
infoYes
errorYes
stageYes검증 워크플로에서 지금 위치한 단계
statusYes이 호출의 결과 상태
지적Yes
warningYes
보고서Yes
next_actionsNo이어서 호출하면 좋은 도구 목록
결론후보Yes지금 지적 상태에서 쓸 수 있는 결론
기준주차Yes
승인토큰Yessave_approved_verification 에 그대로 넘길 값
저장경로Yes
approval_requestYes사용자에게 그대로 보여 줄 승인 요청 문장
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, so the safety profile is covered. The description adds valuable non-obvious behavior: the approval token is computed from finding content so any change alters it, and the approval request must be displayed verbatim. This gives the agent the workflow-level transparency that annotations cannot express.

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 core purpose is front-loaded, and the approval workflow is prominently placed near the top. There is minor redundancy between the first sentence and the explicit 'L1·L2·L3·L4 전부를 검사합니다' repetition, but the overall structure is compact and useful.

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 annotations, full parameter coverage, and an output schema, the description supplies the missing operational context: token integrity, verbatim approval display, and the save-after-approval gate. An agent has enough information to select and invoke this tool correctly without ambiguity.

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%, and each parameter already has a clear description: report path, previous week, target week, and source directory. The description adds no additional parameter-specific detail, so the baseline of 3 is appropriate.

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 opens with a specific verb and resource: it runs all four verification layers and returns the finding list, storage target, and approval request sentence. It also distinguishes itself from sibling intermediate tools by stating it covers L1·L2·L3·L4 in one call.

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?

The description explicitly says intermediate tools are for showing humans why a judgment was made, implying this consolidated tool is for the full preview. It also gives a clear workflow rule: show `approval_request` verbatim and only call `save_approved_verification` after explicit user approval.

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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