도메인/IP 위치 조회
locationLook up the geographic location of a domain or IP address. 도메인 또는 IP의 위치(지리 정보)를 조회합니다. 도메인을 입력하면 해당 도메인의 IP를 찾아 위치를 반환합니다. [호출당 30포인트]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes | 검색할 도메인 또는 IP (예: apick.app) |
locationLook up the geographic location of a domain or IP address. 도메인 또는 IP의 위치(지리 정보)를 조회합니다. 도메인을 입력하면 해당 도메인의 IP를 찾아 위치를 반환합니다. [호출당 30포인트]
| Name | Required | Description | Default |
|---|---|---|---|
| address | Yes | 검색할 도메인 또는 IP (예: apick.app) |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true. The description adds useful behavioral context: it notes that 'if a domain is entered, it finds the IP and returns the location,' and it discloses the cost ('30 points per call'). This goes beyond the annotation info without contradicting it.
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 concise overall but contains redundancy: the English and Korean sentences repeat essentially the same information. The unique details (domain resolution behavior and cost) are valuable, but the duplicated sentence could be trimmed for tighter structure.
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 single-parameter, read-only tool with no output schema, the description adequately covers what the tool does, its input behavior, and cost. It does not detail the exact return format (e.g., country, coordinates), but this is not critical for basic usage and is somewhat covered by the phrase 'geographic info.'
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 schema covers the single 'address' parameter with a description ('Domain or IP to search'). The tool description enhances this by explaining that for domains, the IP is first resolved before returning the location, adding meaningful input semantics that the schema alone does not provide.
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 clearly states the tool's function: 'Look up the geographic location of a domain or IP address.' It uses a specific verb and resource, distinguishing it from sibling tools like nslookup, whois, and ip_history which focus on DNS, reverse IP, or history rather than geolocation.
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 implies use for geographic lookup but does not explicitly state when to use this tool versus alternatives like reverse_ip or nslookup. It provides some context (domain resolution) but lacks exclusions or explicit comparison to sibling tools.
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.
Each tool targets a distinct action or resource: YouTube has crawl and download; Google has three separate search modes; URL tools cover HTML fetching, screenshots, and similarity; and network tools are all unique lookups. No two tools overlap in purpose, making selection unambiguous.
The naming is generally readable but mixes conventions: some use verb_noun (crawl_youtube, reverse_ip), others use noun_noun with brand prefixes (google_search, url_screenshot), and a few are single conventional words (location, whois, nslookup). While not chaotic, there is no uniform verb_noun pattern across the set.
With 13 tools, the server is well-scoped for a web research/investigation toolkit. Each tool covers a distinct aspect of web data collection and DNS/IP analysis, and none feel redundant or unnecessary.
The toolkit provides comprehensive coverage for web research: searching (web, image, reverse image), YouTube data collection, URL content analysis, and a full suite of DNS/IP/WHOIS tools. There are no obvious dead ends or missing operations for its intended purpose.