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compute_baseline_findings

Read-onlyIdempotent

Computes five verification judgments—newly completed, delayed, rescheduled, regressed, or missing—from raw source data, bypassing submitted reports to catch omissions in issue-risk narratives.

Instructions

원본 데이터만으로 판정 5종(신규완료·지연·일정변경·역행·미제출)을 계산합니다.

이 도구는 보고서를 입력으로 받지 않습니다. 그것이 핵심입니다. 보고서를 보고 판정을 계산하면 보고서에 이끌려, 보고서에서 빠진 항목을 영영 찾지 못합니다.

판정은 날짜·완료여부 계산으로만 합니다. 담당자가 적은 이슈리스크 텍스트는 판정에 쓰지 않습니다 — 이슈를 적지 않은 지연 과제를 잡아내는 것이 이 도구의 존재 이유입니다.

Returns: 판정응답: 구분별 건수와 판정 목록. 각 판정은 원본 좌표를 갖습니다.

Examples: - 사용: "이번 주에 보고되어야 할 변동이 뭔가요?" - 사용하지 않음: 보고서와 대조하려면 → check_completeness / verify_claims

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
구분No특정 판정만 보려면 지정. 신규완료·지연·일정변경·역행·미제출 중 하나
전주차No대조 기준 직전 주차2026-W34
기준주차No검증 대상 주차2026-W35
원본디렉터리No원본 엑셀 디렉터리data/원본

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
stageYes검증 워크플로에서 지금 위치한 단계
statusYes이 호출의 결과 상태
구분별Yes판정 구분별 과제/단계 기준 건수
기준일Yes지연 판정의 기준일 (기준주차의 월요일)
총판정Yes
next_actionsNo이어서 호출하면 좋은 도구 목록
판정목록Yes
Behavior5/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint, but the description adds crucial non-obvious behavior: it ignores the '이슈리스크' text and computes only from date/completion fields. It also explains the strategic rationale—catching delayed tasks that failed to write an issue—which is valuable beyond the annotations.

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 front-loaded with the key constraint in bold and uses short bullets and examples. It is slightly more verbose than strictly necessary due to rhetorical rationale ('그것이 핵심입니다'), but every substantive part earns its place by preventing misuse.

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 output schema exists, all parameters are optional with defaults, annotations cover safety, and the description covers purpose, non-usage, return summary, and examples, nothing essential is missing for an agent to select and invoke the tool 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%, with each parameter already documented including defaults and allowed values for '구분'. The description reinforces the original-data theme but does not add meaningful parameter-level detail beyond the schema, 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: '원본 데이터만으로 판정 5종(신규완료·지연·일정변경·역행·미제출)을 계산합니다.' It explicitly distinguishes itself from report-based tools by stating it does not take reports as input, making sibling differentiation clear.

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 provides explicit when-to-use guidance ('이번 주에 보고되어야 할 변동이 뭔가요?') and when-not-to-use guidance with named alternatives: '보고서와 대조하려면 → check_completeness / verify_claims.' It also stresses that the tool should be used for original-data-only determination, not report comparison.

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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