계정 정보 조회
infoCheck your APICK account balance and status. 현재 인증 키에 연결된 APICK 계정의 잔여 포인트와 계정 상태 정보를 조회합니다. 무료입니다. [무료]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
infoCheck your APICK account balance and status. 현재 인증 키에 연결된 APICK 계정의 잔여 포인트와 계정 상태 정보를 조회합니다. 무료입니다. [무료]
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations declare readOnlyHint and openWorldHint. The description adds that the operation is free and tied to the current authentication key, and it states the return content (remaining points and account status). This goes beyond the annotations without contradicting them.
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 and front-loaded with the main purpose. However, it contains redundancy: the English and Korean sentences overlap, and '무료입니다' and '[무료]' both state that it is free, preventing a perfect score.
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, parameterless read-only tool, the description is complete: it specifies the auth context, the free nature, and the key output fields (balance and status). No output schema exists, so the description appropriately covers return values.
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, so the baseline is 4. The description adds meaning by explaining what data the tool returns for the authenticated account, which is not represented in the empty schema.
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 states a specific verb ('Check') and resource ('APICK account balance and status'), and adds that it uses the current authentication key. This clearly distinguishes it from all sibling tools, which focus on email/phone/car/parcel checks.
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?
Clear context is provided: use this tool when the user needs their APICK account balance or status. It does not explicitly mention alternatives or exclusions, but none of the sibling tools serve this purpose, so the implied usage is sufficient.
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.
Most tools target distinct resources and actions, but there is potential overlap between biz_detail and venture_biz_info, and the PCCC tools (req_pccc, get_pccc, check_pccc) require careful reading. Descriptions are clear enough to avoid major misselection.
Tool names mix verb-led patterns (check_*, get_*, req_*, search_*) with noun-phrase patterns (biz_detail, holiday_info, land_rt_price, parcel_tracking). This inconsistency makes it less predictable than a uniform verb_noun scheme, though names remain readable.
With 16 tools, the set is slightly above the typical 3-15 range, but the broad scope of the API—spanning business info, personal validation, car history, parcel tracking, and address search—justifies the count. No tool feels redundant.
The API covers its core verification workflows, but notable gaps exist: no tool for listing parcel carriers despite being referenced in parcel_tracking, no business search by name, and car history only covers flooding and scrap, missing general accident records. These gaps could limit agent workflows.