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robotbase-dev

Web Screenshot

web_screenshot
Read-onlyIdempotent

Capture a screenshot of one public web page as an image (JPEG) plus metadata. When to use: visual layout matters - a dashboard, chart, UI state, or 'what does this page look like'. Do not use: to read text (use web_fetch), for pages behind a login or paywall, or for bulk capture. Returns: image content (image/jpeg) plus {url, final_url, title, width, height, bytes, engine, elapsed_ms, _metering}. Rendered by a real Chromium browser, robots.txt-respecting, SSRF-guarded, max 3MB per image. Metered: shares the web free bucket (100 calls/day per IP shared by all twelve web tools), then 2 credits per call over x402 - there is no API key; the 402 answer carries accepts[].

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
urlYesThe http(s) URL to capture (max 2048 chars).
widthNoViewport width 320-1920. Default 1280.
heightNoViewport height 240-1200. Default 800.
full_pageNoCapture the whole page instead of the viewport. Default false.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.6/5.0
Behavior5/5

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

Goes well beyond the readOnly/openWorld/idempotent annotations: real Chromium rendering, robots.txt respect, SSRF guarding, a 3MB per-image cap, and full metering terms (100/day shared free bucket across twelve web tools, then 2 credits via x402, no API key, 402 response carries accepts[]). These are exactly the operational facts an agent needs before calling a network-dependent paid tool.

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?

Front-loads purpose, then when-to-use, exclusions, return shape, and metering in a logical order with clear labels. It is dense but every clause carries information; the metering sentence is long yet operationally necessary since no API key exists.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

No output schema exists, and the description compensates by naming the return payload: image/jpeg content plus url, final_url, title, width, height, bytes, engine, elapsed_ms, and _metering. Combined with documented failure/metering behavior, an agent has everything needed to call and interpret the result.

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 url, width, height, and full_page are already fully documented with ranges and defaults. The description adds only the implicit 'one public web page' single-URL constraint and no per-parameter meaning, so baseline 3 applies.

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?

States a specific verb and resource ('Capture a screenshot of one public web page as an image (JPEG) plus metadata') and explicitly scopes it to a single page. It is clearly distinguishable from web_fetch and bulk-capture siblings, which are named in the exclusion clause.

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?

Gives an explicit when-to-use condition ('visual layout matters – a dashboard, chart, UI state') and explicit when-not-to-use cases, naming the alternative for text reading ('use web_fetch'). Login, paywall, and bulk capture are ruled out by name rather than left to inference.

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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