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vito1317

macos-control-mcp

by vito1317

screenshot

Capture the entire screen or a specific region as an AI-optimized image. Use coordinate grid overlay, cropping, and compression options to verify visual results or inspect raw screen content.

Instructions

Take a screenshot of the entire screen or a specific region. Returns the image optimized for AI analysis. Options include coordinate grid overlay, compression, and region cropping. ⚠️ PREFER ai_screen_elements over this tool when you need to find clickable elements — it auto-detects ALL interactive elements with precise coordinates. Use screenshot only when you need a raw visual overview or to verify results. If you must estimate positions from the screenshot, aim for the vertical center or slightly below center of targets (visual perception biases Y upward).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
formatNoOutput format (default: png)
regionNoCapture specific region (x, y, width, height). Omit for full screen.
qualityNoImage quality (1-100) (default: 80)
maxWidthNoMax width for AI optimization (downscale if larger) (default: 1920)
showGridNoOverlay coordinate grid to help AI identify positions (default: false)
windowIdNoCapture specific window by ID (from window_list)
gridSpacingNoGrid line spacing in pixels (default: 100)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv1.0.0

TDQS

A4.4/5.0
Behavior4/5

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

With no annotations provided, the description carries the full burden and does more than restate the name. It discloses output optimization, optional grid/compression/cropping behaviors, and a perceptual bias caveat. It stops short of detailing error behavior or what happens with invalid window IDs, but for a read-only capture tool this is strong disclosure.

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?

The description is compact and front-loaded. Every sentence earns its place: scope, output orientation, routing to the preferred alternative, and a practical positional correction. There is no filler or unnecessary repetition.

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-parameter tool with full schema coverage, the description is nearly complete. It covers what the tool does, when to use it, what to prefer instead, and a useful visual bias tip. The main omission is distinguishing explicitly from screenshot_annotated among the siblings, plus minor edge-case behavior for windowId.

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 the baseline of 3 applies. The description's mention of grid overlay, compression, and region cropping essentially paraphrases schema properties without adding new semantic detail such as coordinate conventions or interaction between parameters.

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 opens with a specific verb and resource: 'Take a screenshot of the entire screen or a specific region.' It also clarifies the output purpose ('optimized for AI analysis') and distinguishes the tool from ai_screen_elements, which is for finding clickable elements. This makes the tool's purpose unambiguous and differentiates it from key siblings.

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?

Usage guidance is explicit: prefer ai_screen_elements when clickable elements are needed, use screenshot only for a raw visual overview or verification, and even warns about visual Y-axis estimation bias. This tells the agent exactly when to choose this tool and when to select an alternative.

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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