HTML PDF 변환
html_to_pdfRender HTML code into a PDF file. HTML 코드를 렌더링해 PDF 파일로 변환합니다. HTML 문자열을 입력하면 변환된 PDF 파일을 반환합니다. [호출당 30포인트]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| html | Yes | 변환할 HTML 코드 | |
| pagination | No | 페이지 번호 표시 여부 (0: 없음(기본값), 1: 표시) |
html_to_pdfRender HTML code into a PDF file. HTML 코드를 렌더링해 PDF 파일로 변환합니다. HTML 문자열을 입력하면 변환된 PDF 파일을 반환합니다. [호출당 30포인트]
| Name | Required | Description | Default |
|---|---|---|---|
| html | Yes | 변환할 HTML 코드 | |
| pagination | No | 페이지 번호 표시 여부 (0: 없음(기본값), 1: 표시) |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark the operation read-only, and the description adds the per-call point cost and confirms the output is a PDF file. It does not mention rendering limitations, CSS support, or how the file is returned, but for a simple conversion tool the key behavioral context is present.
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 short, front-loaded with the action, and includes a useful cost note. The Korean sentence largely duplicates the English opening, which is minor redundancy in an otherwise tightly worded definition.
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?
For a simple two-parameter conversion tool, the description plus schema is sufficient: input shape, optional pagination, and output type are covered. It could be more complete by describing the response format, but the absence of an output schema makes that a modest gap.
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?
Schema description coverage is 100%, so the html and pagination parameters are already documented. The description only restates that an HTML string is the input and adds no new semantic detail about parameters.
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 and resource: 'Render HTML code into a PDF file,' and further clarifies the input is an HTML string returning a PDF. This clearly separates it from sibling converters like docx_to_pdf and pdf_to_image.
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?
The description makes the primary use case explicit: provide HTML code as a string to receive a PDF, which implies it is not for URL-based conversion or other document formats. It does not explicitly name when-not-to-use or alternatives, so it stops short of full routing guidance.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Multiple tools target the same documents with unclear boundaries: identi_card_image1, ocr_identi1, and identity_document_id_card all accept a resident registration card image but differ in verification vs extraction vs masking, which agents will struggle to distinguish. The identi_card1-5 vs identi_card_image1-5 vs ocr_identi1-5 clusters are especially confusing, despite some helpful descriptions.
Naming is highly inconsistent: some tools use verb_noun (check_phone_valid, search_juso, pdf_merge), some are bare nouns (whois, nslookup, ocr, stt), and identity tools use three parallel schemes (identi_card1, identi_card_image1, ocr_identi1, identity_document_id_card) with no clear pattern. No single convention is followed across the toolset.
88 tools is an extreme count for a single MCP server, spanning identity verification, parcel tracking, LLM chat, image generation, PDF conversion, TTS, and network lookups. This is an API marketplace dump rather than a focused toolset, and the number far exceeds any reasonable scope.
The server's scope is unbounded, so it has gaps everywhere: no video transcription shortcut, no PDF splitting, no batch cancellation for images (only TTS), and identity clusters lack clear differentiation between verify/extract/mask workflows. Some subdomains like TTS have a full lifecycle, but overall the coverage is scattered and incomplete for the implied breadth.