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Glama

URL 화면캡처

url_screenshot
Read-only

Capture a screenshot of a web page and return it as a JPEG image. 입력한 URL의 화면을 캡처해 JPEG 이미지로 반환합니다. [호출당 5포인트]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYes페이지 URL (예: https://www.naver.com/)

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is known. The description adds useful context such as the output format (JPEG) and the per-call cost (5 points), but it does not disclose potential caveats like viewport size, full-page vs. visible area, or rendering delays.

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 the key information is front-loaded. However, the English sentence and its Korean translation say essentially the same thing, making the second sentence partially redundant. The cost note is a useful addition.

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 one-parameter tool with good schema coverage and read-only annotations, the description is mostly sufficient. It states the purpose, output format, and cost. The main missing piece is explicit usage guidance, but this is not critical given the tool's simplicity.

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 url parameter is fully documented in the schema. The description mentions '입력한 URL' but adds no additional semantic detail 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 action ('Capture a screenshot'), the resource ('of a web page'), and the output ('return it as a JPEG image'). This distinguishes it from sibling tools like url_html or google_search, which serve different purposes.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. It does not mention any exclusions, prerequisites, or situations where another tool (e.g., url_html for HTML content) would be more appropriate.

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

A4/5.0
Disambiguation5/5

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.

Naming Consistency3/5

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.

Tool Count5/5

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.

Completeness5/5

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.