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Computer Use MCP Server

Computer Use MCP Server

by SebastianBaltes
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

computer_screenshot

Capture the current desktop as a PNG image scaled to 1429x804 pixels for automation tasks.

Instructions

Take a screenshot of the current desktop. Returns the screenshot as a PNG image. The display is 1429x804 pixels (scaled from 1920x1080). All coordinates are in the scaled coordinate space.

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "computer_screenshot"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A4.2/5.0
Behavior4/5

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

Without annotations, the description discloses output format, dimensions, and coordinate scaling. It does not mention multi-monitor behavior or performance implications, but for a simple screenshot tool it is reasonably transparent.

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 sentences, concise and front-loaded with essential information. Every sentence earns its place without redundancy.

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?

Given zero parameters and no output schema, the description covers the key aspects: action, return type, and coordinate context. Minor omission of whether all monitors are captured, but overall sufficient for a simple tool.

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?

No parameters exist, so schema coverage is 100%. The description adds value by explaining the output and coordinate space, compensating for the lack of param detail. Baseline 4 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?

Clearly states the action (take a screenshot), the resource (current desktop), and the output (PNG image). No other sibling tool performs this function, so differentiation is implicit.

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

Usage Guidelines3/5

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

The description provides coordinate space information that may help with subsequent tools but does not explicitly state when to use this tool versus alternatives or provide any exclusions or prerequisites.

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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