hwp_word_count
Count characters, words, paragraphs, and pages in the current HWP document.
Instructions
현재 문서의 글자수, 단어수, 문단수, 페이지수를 반환합니다.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Count characters, words, paragraphs, and pages in the current HWP document.
현재 문서의 글자수, 단어수, 문단수, 페이지수를 반환합니다.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description must convey behavior. It states the outputs (counts) but does not clarify side effects (likely none), document state required (currently open document), or error conditions. The description is adequate but lacks depth.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that efficiently conveys the tool's purpose. Every word is necessary, and it is front-loaded with the action and results.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (no parameters, no output schema), the description lists all return values. It is sufficient for the agent to understand what information is provided, though it could specify whether the counts are for the entire document or selection.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The tool has zero parameters, and schema coverage is 100%. According to guidelines, baseline is 4. The description adds no parameter info, but none is needed. Acceptable.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses a specific verb ('returns') and clearly identifies the resource (character count, word count, paragraph count, page count). It distinguishes this tool from siblings as a summary statistics tool, making its purpose unambiguous.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool versus alternatives like hwp_get_document_info. It does not mention when-not to use or give any context about prerequisites or preferences.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/gmlcjf0326/claude-code-hwp-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server