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extract_text_from_screenshot

Extract visible text, source code, or terminal output from screenshots via OCR. Submit an image and a prompt to get verbatim content for text-based analysis.

Instructions

Extract visible text (OCR), source code, terminal/config content verbatim.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptYes
image_sourceYes
programming_languageNo
Behavior2/5

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

With no annotations, the description carries the full burden for behavioral disclosure. It does not mention read-only status, limitations, output format, or potential failures. The single sentence provides no additional transparency beyond the basic action.

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 a single, concise sentence that front-loads the primary action. Every word is purposeful, with no fluff or redundancy.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Given the absence of an output schema and annotations, the description should provide more context about how the prompt influences extraction, what the result looks like, and any constraints. The current description is a minimal statement of purpose, leaving significant gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must compensate. It does not explain the 'prompt' parameter, the role of 'programming_language', or how 'image_source' should be provided. The mention of 'source code' hints at 'programming_language' but is insufficient.

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 description clearly states the function: extracting visible text, source code, and terminal/config content verbatim. It uses specific verbs and resources, and distinguishes its extractive nature from sibling analysis tools like analyze_image, though it does not explicitly name alternatives.

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

Usage Guidelines2/5

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

No guidance is given on when to use this tool versus alternatives. The description only states what it does, without context on use cases, exclusions, or comparisons to sibling tools.

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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