Skip to main content
Glama

PDF 워터마크 삽입

draw_watermark_pdf
Read-only

Draw a visible text watermark across every page of a PDF file. PDF 파일 전체 페이지에 텍스트 워터마크를 삽입한 PDF 를 반환합니다. 글자 크기·색상·투명도·각도·밀집도·적용 영역을 조절할 수 있으며, PDF 형식의 파일만 허용됩니다. [호출당 10포인트]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
wmYes워터마크 문자열 (최대 30자)
angleNo워터마크 각도 (0 ~ 360, 기본값 35)
colorNo워터마크 색상 HEX (000000 ~ FFFFFF, 기본값 EEEEEE)
widthNo워터마크 적용 너비 (0 ~ 2000, 기본값 550, A4 기준)
heightNo워터마크 적용 높이 (0 ~ 2000, 기본값 800, A4 기준)
densityNo워터마크 글자 밀집도 (100 ~ 200, 기본값 150)
opacityNo워터마크 투명도 (0 ~ 1, 기본값 0.05)
pdf_urlYes다운로드 가능한 https URL (허용 형식: application/pdf) (최대 25MB)
font_sizeNo워터마크 글자 크기 (8 ~ 30, 기본값 10)

TDQS

A4.1/5.0
Behavior4/5

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

Annotations provide readOnlyHint=true, and the description adds that it returns a new PDF ('PDF 를 반환합니다'), supports adjustable attributes (size, color, opacity, angle, density, area), restricts input to PDFs, and costs 10 points per call. These details are consistent with the annotations and provide additional behavioral context.

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

Conciseness4/5

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

The description is short and front-loaded with the primary action. However, the English and Korean sentences are redundant (both state watermarking across every page of a PDF). The additional cost note is useful, but the duplication slightly detracts from conciseness.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a 9-parameter tool with no output schema, the description covers the core behavior, return type (PDF), input restriction, adjustability, and cost. It does not elaborate on error cases or authentication, but the schema and annotations fill most gaps, making it complete enough for a PDF watermarking tool.

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 descriptions cover all 9 parameters with ranges and defaults, so the baseline is 3. The description mentions adjustable attributes (글자 크기·색상·투명도·각도·밀집도·적용 영역) but does not add any syntax or format details beyond what the schema already provides.

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 clearly states the tool draws a visible text watermark across every page of a PDF file and returns the modified PDF. The action (draw) and resource (PDF) are specific, and the mention that only PDF format is allowed distinguishes it from image watermarking tools.

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 gives clear context: it is for PDF files, and explicitly states that only PDF format is allowed ('PDF 형식의 파일만 허용됩니다'). However, it does not mention alternative tools (e.g., draw_watermark_image) for non-PDF inputs, so explicit when-not/alternative guidance is absent.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

TDQS

A3.6/5.0
Disambiguation4/5

Most tools have clearly distinct purposes; even within families like identi_card1-5 vs identi_card_image1-5, the text-input vs image-input distinction is clear. However, the sheer number of tools and some near-synonyms (e.g., ocr_identi1 vs identi_card_image1) could cause occasional misselection, but descriptions mitigate this.

Naming Consistency3/5

Naming follows a loose verb-first pattern (check_, crawl_, download_, draw_, etc.) but includes significant deviations: bare nouns (bank_code, location, whois), numbered variants (identi_card1, identi_card_image1), and mixed prefixes (ocr_, identity_, etc.). The inconsistency is noticeable but still readable and predictable within functional clusters.

Tool Count3/5

80 tools is far above the typical 3-15, but the server is a broad API aggregator covering many independent domains (banking, ID verification, media conversion, search, LLM, etc.), so the high count is somewhat justified. Still, the sheer number makes the toolkit feel unwieldy and hard to navigate, placing it at the high end of acceptable.

Completeness4/5

Within its stated purpose as a general-purpose utility API, the toolset covers a wide array of common task families: identity document verification (text and image), OCR field extraction, media conversion, web/search, domain/IP lookup, and LLM chat. Most operations have both get and act variants (e.g., set/get watermark, parcel_tracking/auto), with few obvious dead ends for typical use cases.