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gmlcjf0326

claude-code-hwp-mcp

by gmlcjf0326

hwp_estimate_workload

Pre-estimate the workload for HWP document creation by analyzing user request, form, and reference files. Get estimated pages, tokens, time, and risks to decide whether to proceed, split, or reduce scope.

Instructions

★ 작성 작업의 워크로드를 사전 추정합니다. (v0.7.1 신규) 입력: 양식 + 사용자 요청 + 참고 자료. 출력: 예상 페이지 수, 토큰 사용량, 소요 시간, 위험 항목, 권장 조치(proceed/split_into_sessions/reduce_scope). 사용자가 결과 보고 진행 여부 결정. 추정 공식: chars_per_page=1100, tokens=chars/3.5, output_tokens_per_page=500, seconds_per_token=0.011 (Opus 4.6 한국어).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNo작성 모드 (new=새 문서, extend=양식 확장)
file_pathNo양식 파일 경로 (옵션, 있으면 자동 분석)
constraintsNo정책 제약
user_requestYes사용자 요청 (예: "AI 스타트업 사업계획서 A4 10쪽 격식체")
reference_filesNo참고 자료 파일 경로 목록 (옵셔널)
Behavior4/5

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

With no annotations provided, the description carries the full burden. It discloses the estimation formula, output structure (risk items, recommended actions), and that the user decides whether to proceed. It does not state side effects, but the tool is likely read-only. The detail is commendable.

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?

The description is a single paragraph that is both concise and informative, front-loading the purpose and then detailing inputs, outputs, and formula. Every sentence adds value; no waste.

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?

Although there is no output schema, the description fully explains the return values (pages, tokens, time, risks, recommendations) and the underlying formula. It covers prerequisites and how the tool integrates into the workflow, leaving no gaps for a planning tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so baseline is 3. The description adds value by explaining how parameters map to the estimation process (e.g., mode, file_path for form analysis, constraints), providing context beyond the schema descriptions. It clarifies the role of each input.

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 explicitly states the tool estimates workload for HWP writing tasks, detailing inputs and outputs (pages, tokens, time, risks, recommendations). It is distinct from all sibling tools, which are focused on editing, formatting, or reading documents.

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?

The description clearly indicates the tool is for pre-writing workload estimation and that the user decides based on results. However, it does not explicitly discuss when not to use it or compare with alternatives, though the unique purpose is evident from sibling context.

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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