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gmlcjf0326

claude-code-hwp-mcp

by gmlcjf0326

hwp_get_as_markdown

Convert HWP/HWPX document content to structured Markdown, including tables, for AI to understand and analyze.

Instructions

문서 내용을 마크다운 형식으로 변환하여 반환합니다. 표는 마크다운 테이블로, 텍스트는 구조화됩니다. AI가 문서 내용을 이해하기 가장 좋은 형식입니다.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
file_pathNoHWP/HWPX 파일 경로 (생략 시 현재 문서)
Behavior2/5

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

With no annotations provided, the description carries full burden of behavioral disclosure. It does not state whether the tool is read-only, what the return format is (e.g., a Markdown string), or any limitations. The conversion behavior is implied but not detailed.

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?

Two sentences, both relevant and informative with no unnecessary words. The description is front-loaded with the primary function.

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?

The description covers the basic conversion purpose and table handling but lacks details about the return structure (e.g., whether it returns a string or object) and any edge cases. Given no output schema, more detail would be beneficial.

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% with a clear parameter description for 'file_path'. The tool description adds no additional meaning beyond the schema, meeting the baseline for high coverage.

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?

The description clearly states it converts document content to Markdown format and specifies how tables and text are handled, making the purpose easy to understand. However, it lacks explicit differentiation from sibling tools like hwp_get_document_text or hwp_export_html, though it implies Markdown is best for AI understanding.

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

Usage Guidelines2/5

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

No explicit guidance on when to use this tool versus alternatives. The phrase 'AI가 문서 내용을 이해하기 가장 좋은 형식입니다' suggests usage for AI consumption but does not provide concrete when-to-use or when-not-to-use scenarios.

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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