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Screenshot a page

screenshot_url

Render a URL in a headless browser and return a PNG screenshot at the size you ask for. Paid: call without x_payment to receive this call's exact terms (amount, asset, network), sign them, then call again with x_payment. The free pricing tool lists every price at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesAbsolute URL to capture.
widthNoViewport width in px.
heightNoViewport height in px.
full_pageNoCapture the whole scrollable page, not just the viewport.
x_paymentNoOptional signed x402 payment payload (base64, what the X-PAYMENT header carries). Omit to receive the exact payment terms; sign them (e.g. @x402/fetch) and call again with this argument to settle and get the data.

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations, the description carries the transparency burden. It clearly discloses the paid nature, the two-step payment mechanism, and the output format (PNG screenshot via headless browser). While it doesn't discuss error handling or timeout behaviors, the key behavioral traits (cost, render method, output) are stated.

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

Conciseness5/5

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

Two tightly structured sentences: the first covers core function, the second covers payment specifics. Every word earns its place, and the critical payment flow is front-loaded after the main purpose. No redundancy or fluff.

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?

The tool is simple and the description covers the essential facts: headless browser rendering, PNG output, size configurability, and payment requirements. With no output schema, stating the return type is sufficient. The description doesn't explain error conditions or broader use cases, but for a screenshot tool this is adequate.

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?

Schema description coverage is 100%, so baseline is 3. The description adds value beyond the schema by explaining the two-step x_payment workflow ('call without x_payment to receive exact terms... sign them... call again'), which helps the agent sequence calls correctly. This supplemental guidance pushes it above baseline.

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 starts with 'Render a URL in a headless browser and return a PNG screenshot', a specific verb+resource combination that clearly identifies the tool's function. This distinguishes it from siblings like read_url or image_to_text, which serve text extraction rather than visual capture.

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

Usage Guidelines4/5

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

The description provides explicit usage guidance for the payment flow (call without x_payment, sign, then call with x_payment) and points to the `pricing` tool as an alternative for viewing all prices at once. It lacks explicit 'when not to use' caveats but gives clear operational context.

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

A4.4/5.0
Disambiguation5/5

Each tool serves a clearly distinct function—data discovery, holidays, icons, OCR, news, PDF extraction, pricing, URL reading, data requests, screenshots, timezone, and weather. There is no overlap in purpose; even read_url and screenshot_url differ by output format (markdown vs PNG).

Naming Consistency4/5

All tool names use lowercase snake_case and are readable, but the pattern is not uniformly verb_noun—some are nouns (holidays, news, pricing, timezone, weather) while others are verb_noun (find_data, read_url). This is a minor inconsistency that doesn't impede predictability.

Tool Count5/5

With 12 tools, the server sits comfortably within the ideal 3–15 range. Each tool earns its place covering a distinct web utility, and the count matches the broad but well-defined scope of a general-purpose web toolbox.

Completeness4/5

The tool surface is fairly complete for a general-purpose web utility server, covering common tasks like fetching, extracting, searching, and checking time/weather/holidays, plus meta tools (pricing, request_data). Minor gaps like a generic text summarizer or video tool exist, but nothing critical for the intended purpose.

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