Skip to main content
Glama
Unilytics MCP Server

Unilytics MCP Server

Official

page_screenshot

Read-only

Capture full-page or viewport screenshots of rendered webpages after JavaScript execution for visual audits, competitor comparison, UX review, and page-state documentation.

Instructions

Capture a screenshot of a webpage.

Takes a rendered screenshot after JavaScript execution. Use for visual
audits, above-the-fold analysis, competitor page comparison, UX review,
or documenting current page state.

Args:
    url: Full URL to screenshot (e.g. "https://example.com")
    full_page: Capture full scrollable page vs viewport only (default: False)

[Provider: Firecrawl]

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "url": "<url>"
    },
    "name": "page_screenshot"
  }
}

Input Schema

NameRequiredDescriptionDefault
urlYes
full_pageNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.1.0
    • removedInput schema / properties / config
      Removed value: -{
      -  "default": null,
      -  "title": "config",
      -  "type": "string"
      -}
  2. First observedv1.0.0

TDQS

A4.1/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds genuinely new behavior: the screenshot is taken after JavaScript execution, meaning rendered output rather than source, which affects expectations about timing and results. It stops short of noting timeouts, auth-walled pages, or rate limits for this network-dependent capture.

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?

Front-loaded with the core action, followed by a compact use-case list and a short Args block. Every sentence earns its place, and the Args block is not redundant padding given the 0% schema coverage.

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 two-parameter capture tool with annotations covering safety and open-world access, the description covers purpose, rendered-after-JS behavior, and both parameters. The one remaining gap is the return format — image, URL, or binary payload — which is not covered by an output schema either.

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 0%, so the description has to carry parameter meaning and largely does: url is described as a full URL with an example form, and full_page is explained as full scrollable page versus viewport only, including the default. This is solid compensation for a bare schema, though the URL example could note whether scheme is mandatory or optional.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence states a specific verb and resource ('Capture a screenshot of a webpage') and adds that it is a rendered screenshot taken after JavaScript execution, which is a meaningful distinction from a raw-HTML fetch. It does not explicitly name or differentiate against siblings such as on_page_audit or page_speed_audit, leaving that separation to inference from the use-case list.

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 gives clear positive context for when to reach for this tool: visual audits, above-the-fold analysis, competitor page comparison, UX review, documenting page state. What is missing is any exclusion or routing guidance — nothing says when to prefer on_page_audit or content_scrape instead.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Deploy Server

Other Tools