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APICK Identity

[Image/PDF] 주민등록증 진위 확인

identi_card_image1
Read-only

Verify the authenticity of a Korean resident registration card from an image or PDF file. 주민등록증 이미지 또는 PDF 파일을 업로드하면 기재 정보를 자동 인식해 진위 여부를 확인합니다. 텍스트 입력 없이 파일 하나만 전달하면 됩니다. 정보주체의 동의 등 적법한 처리 근거를 확보한 경우에만 사용하십시오. [호출당 60포인트]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
image_urlYes다운로드 가능한 https URL (허용 형식: image/jpeg, image/png, application/pdf) (최대 50MB)

TDQS

B3.3/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds value beyond these: the legal/consent processing requirement and the cost note ('[호출당 60포인트]'). It does not contradict annotations — verification is a read-only operation consistent with readOnlyHint. It stops short of richer disclosure (e.g., what the verification response contains), but adds meaningful context.

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

Conciseness3/5

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

The description is compact and front-loads the primary purpose, followed by usage guidance, legal note, and cost. It is mildly redundant — the English lead sentence and the Korean sentence express essentially the same purpose — but remains reasonably tight with no extraneous filler. Each sentence contributes, though two could be merged.

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?

For a single-parameter tool with 100% schema coverage and read-only annotations, the description is largely adequate. The main gap is the absence of any statement about the verification output format (boolean result, OCR'd fields, report) since no output schema exists. Given the sibling cluster and the sensitive personal-data nature, slightly more on expected behavior would strengthen it.

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 description coverage is 100%, so the schema already documents image_url (downloadable https URL, allowed formats jpeg/png/pdf, 50MB limit). The description marginally supplements this by stressing single-file, no-text input, but does not add format or syntax details beyond what the schema provides. Baseline 3 is appropriate when the schema carries the parameter documentation.

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 states a specific verb and resource: 'Verify the authenticity of a Korean resident registration card from an image or PDF file.' The title adds '[Image/PDF]' which distinguishes it from the text-input siblings (identi_card1-5). However, it provides no differentiation among the nearly identical image siblings (identi_card_image1-5), so it doesn't fully separate it from the closest alternatives.

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

Usage Guidelines3/5

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

The description gives clear context that this tool is for file-based input ('텍스트 입력 없이 파일 하나만 전달하면 됩니다' — pass a single file, no text input) and adds a legal prerequisite (consent of the data subject must be secured). It implies file-vs-text selection but does not explicitly name alternatives, and gives zero guidance on selecting among the five identical image endpoints, which is the agent's real selection problem.

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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TDQS

A3.9/5.0
Disambiguation5/5

Each tool has a distinct purpose: masking (hide_rrn), text-based verification (identi_cardN), image-based verification (identi_card_imageN), extraction with masking (identity_document_*), and name/RRN matching (name_rrn_auth). Within each group, the document type is clearly specified, so there is no ambiguity between tools.

Naming Consistency4/5

Naming follows clear patterns: identi_card* for verification (with _image for image-based), identity_document_* for extraction, and descriptive names like hide_rrn and name_rrn_auth. While the prefixes differ across functional groups, each group is internally consistent and the names are readable and predictable.

Tool Count4/5

16 tools is on the higher end but appropriate for the server's scope, covering five document types with two verification modes (text and image), four extraction/masking tools, a generic masking tool, and a name/RRN auth check. Each tool fills a needed role, though the number is slightly elevated due to the text/image split.

Completeness4/5

The server covers the core operations for identity document verification and extraction across all major Korean ID types. A minor gap is the lack of an extraction/masking tool for the resident registration certificate (identi_card4), but this is not a critical omission given the existing verification and masking capabilities.