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jm333-B

file-insight-mcp

by jm333-B

validate_report_draft

Read-onlyIdempotent

Validates summary report drafts for required sections and formatting issues, blocking save approval until errors are resolved.

Instructions

요약 보고서 초안의 구조를 검사합니다. 저장 게이트입니다.

error가 하나라도 있으면 preview_save_report에서 승인 토큰이 발급되지 않습니다.

검사 항목: - error: H1 제목, 필수 섹션 5개(폴더 개요/파일 구조/문서별 요약/주요 키워드/확인 필요 사항) - warning: 섹션 순서, 자리표시자 잔존, 대상 폴더 표기 누락, 문서 경로 인용 누락

Args: report_markdown: 요약 보고서 초안 전문.

Returns: ValidationResponse: valid, error_count, warning_count, issues[](rule_id/severity/message/fix/line).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
report_markdownYes검증할 요약 보고서 초안 전문(마크다운)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
stageYes폴더 분석 워크플로에서 지금 위치한 단계
validYes
issuesYes
statusYes이 호출의 결과 상태
error_countYes
next_actionsNo이어서 호출하면 좋은 도구 목록
warning_countYes
Behavior4/5

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

Annotations already provide readOnlyHint=true, idempotentHint=true, destructiveHint=false, and the description is fully consistent. Beyond those annotations it adds real context: the gating behavior (errors block the downstream approval token) and the return shape (valid/error_count/warning_count/issues[] with rule_id/severity/message/fix/line). No contradiction with annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Purpose and the critical gating consequence are front-loaded in the first two lines. Validation items are organized into error/warning lists, and Args/Returns sections are compact. Nothing is wasted; the whole definition earns its place.

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?

With one fully documented parameter and an existing output schema, the description covers everything an agent needs: when to call it (before preview_save_report), what rules it enforces (with rule IDs and severities), and what it returns. No meaningful gap remains.

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 coverage is 100% - the single parameter report_markdown is already documented in the schema as '검증할 요약 보고서 초안 전문(마크다운)'. The Args section merely restates it without adding new meaning, so the baseline of 3 applies. The validation-rule context lives in the description body, not in param semantics themselves.

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?

Uses a specific verb+resource (검사합니다/요약 보고서 초안 구조) and enumerates exact validation rules by severity (error: H1 + 5 required sections; warning: section order, placeholders, etc.). Clearly distinct from all 13 siblings as a structural pre-save validator.

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?

Explicitly frames the tool as a '저장 게이트' (save gate) and states the consequence: any error means preview_save_report won't issue an approval token. This routes the agent to call it before saving. It does not name alternatives like check_summary_grounding or diff_report_against_saved to clarify when those should be used instead, so it stops short of full exclusion guidance.

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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