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get_screen_text

Extract visible text from your screen using OCR. Returns text grouped by detected windows with bounding boxes. Use when you need code, terminal, chat, or document content without visual layout. Avoids sending data to the cloud.

Instructions

Run OCR over the current screen and return extracted text only.

Returns extracted text grouped by detected region (window/panel) with approximate bounding boxes.

USE WHEN: you need the textual content visible on screen (code, terminal, chat, docs) and visual layout doesn't matter. NOT FOR: visual content (diagrams, photos) — use get_screenshot. ALTERNATIVES: get_screenshot (raw pixels), search_history (OCR over past captures).

BEHAVIOR: captures + OCR in one call; takes 200-800 ms depending on screen size. Cheaper in tokens than get_screenshot (~200-700 vs ~1200). Result is also indexed into the OCR history (visible via search_history).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

Describes behavior in detail: captures+OCR in one call, timing (200-800 ms), token efficiency, and indexing into OCR history. No annotations exist, so description fully covers behavioral aspects.

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?

Well-organized with sections (USE WHEN, NOT FOR, ALTERNATIVES, BEHAVIOR), front-loaded, and every sentence adds value. No wasted words.

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?

Given no parameters and an output schema exists, the description is complete: it explains purpose, usage context, behavior, and alternatives. No gaps.

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 in schema (100% coverage). With zero params, description need not add param info. The description adds context about what the tool does without relying on schema details.

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?

Description clearly states the tool runs OCR on the current screen and returns extracted text grouped by region. It distinguishes itself from sibling tools like get_screenshot and search_history by specifying its purpose.

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?

Explicitly provides USE WHEN and NOT FOR conditions, and lists alternatives (get_screenshot, search_history), giving clear guidance on when to use this tool.

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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