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택배 배송조회

parcel_tracking
Read-only

Track a Korean parcel in real time by carrier code and tracking number. 택배사 코드와 운송장번호를 지정해 실시간 배송현황을 조회합니다. 결과는 저장하지 않고 매 호출마다 즉시 조회합니다. carrier 코드 예: cj(CJ대한통운), hanjin(한진택배), lotte(롯데택배), logen(로젠택배), epost-domestic(우체국택배) 등 — 전체 목록은 /rest/parcel_tracking_carriers(무료)에서 확인할 수 있고, 택배사를 모르면 parcel_tracking_auto Tool로 자동판별 조회하세요. [호출당 5포인트]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
carrierYes택배사 코드 (예: cj, hanjin, lotte, logen, epost-domestic)
trackingNumberYes운송장번호

TDQS

A4.5/5.0
Behavior4/5

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

Annotations already declare readOnlyHint and openWorldHint, and the description adds valuable behavioral context: '결과는 저장하지 않고 매 호출마다 즉시 조회합니다' (Results are not stored and are queried immediately each call), plus the per-call point cost. These details go beyond the annotations and help the agent understand the tool's stateless, real-time nature, though response format is not described.

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 concise, beginning with the core purpose in the first sentence, followed by useful details in a structured order: examples, alternative tool, free endpoint, and cost. The bilingual repetition adds some redundancy, but the overall message remains tight and each clause carries substantive information, making it an efficient description.

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 simple two-parameter tracking tool with robust annotations, the description covers essential context: real-time query, no persistence, carrier list discovery, and the alternative tool for unknown carriers. It does not describe the response structure or error handling, but given the tool's straightforward nature and the support from annotations, this is only a minor gap and the description is largely complete.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema covers both parameters with 100% description coverage, so the baseline is 3. The description adds extra value by listing concrete carrier code examples (cj, hanjin, lotte, etc.) and pointing to a free endpoint for the full list, which assists the agent in selecting valid values. It does not significantly enhance trackingNumber semantics but enriches carrier semantics enough for a score of 4.

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's function: 'Track a Korean parcel in real time by carrier code and tracking number.' It further distinguishes from the sibling tool 'parcel_tracking_auto' by explicitly noting that it should be used when the courier is unknown, eliminating ambiguity about the tool's scope.

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

Usage Guidelines5/5

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

The description provides explicit guidance on when to use this tool and when to use an alternative: '택배사를 모르면 parcel_tracking_auto Tool로 자동판별 조회하세요' (If you don't know the courier, use the parcel_tracking_auto tool for automatic detection). It also suggests a free endpoint for the full carrier list, giving the agent a clear path to obtain valid carrier codes.

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

A3.6/5.0
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.