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claude-screen-mcp

Screenshot

screenshot

Capture the primary or a chosen display and return it as an image so you can view, describe, or troubleshoot on-screen content. Resizes to maxEdge 1600 by default to limit vision tokens.

Instructions

Capture the entire primary display (or a specific display) and return it as an image. Use when the user asks you to see, look at, describe, or troubleshoot what's on their screen. Auto-resizes to maxEdge=1600 by default to keep vision tokens reasonable.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoOutput format. Default png (lossless). Use jpeg/webp to save vision tokens when pixel-perfect detail is not needed.
maxEdgeNoResize so the longest edge is ≤ N pixels (lower = cheaper vision tokens). Range 64-4096. Default 1600.
qualityNoQuality (1-100) for jpeg/webp. Default 80. Ignored for png.
displayIdNoDisplay id obtained from `list_displays`. Omit to use the primary display. Always call list_displays first when targeting a non-primary display.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.4.0

TDQS

A4/5.0
Behavior3/5

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

With no annotations, the description carries the full behavioral burden. It usefully discloses the auto-resize default (maxEdge=1600) and the vision-token rationale, plus the return type. It omits real operational traits such as OS screen-recording permission requirements and what happens with occluded or off-screen windows.

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?

Three tight sentences: what it does, when to use it, then a cost-related default. Purpose is front-loaded and every sentence earns its place.

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 zero-required-param, single-purpose capture tool with a 100%-documented schema, the description covers purpose, trigger, and the key cost tradeoff; the returned image type is stated so no output schema is needed. It falls just short on permission/OS prerequisites that an agent may need before calling.

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 format, maxEdge, quality, and displayId are already fully documented in the schema, including defaults and ranges. The description's mention of maxEdge=1600 only repeats what the schema default already states, adding no new semantic detail.

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+resource ('Capture the entire primary display... return it as an image') and defines scope as the whole display, which implicitly separates it from the sibling screenshot_region. An agent can tell what this returns without opening the schema.

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?

Gives clear when-to-use triggers ('when the user asks you to see, look at, describe, or troubleshoot what's on their screen'). However, it never names the alternative siblings (screenshot_region, screenshot_if_changed, get_screen_diff) or states when NOT to use this, leaving sibling routing to inference.

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