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Extract Text From Screenshot

extract_text_from_screenshot

Extract text from screenshots of code, terminal output, or documents using OCR, returning the verbatim text content.

Instructions

OCR a screenshot (code, terminal output, or a document) and return the text verbatim.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoOptional hint about what kind of text this is, e.g. 'terminal output' or 'code editor'.
image_pathYesPath to the image file (absolute, or relative to the server's working directory).
Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses that the tool performs OCR and returns text verbatim, implying it is read-only and non-destructive. However, it does not detail behavior on invalid input, failure modes, or any side effects, leaving gaps in transparency.

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, well-structured sentence containing the core action, resource, and examples. It is concise with no unnecessary words, making it easy to parse.

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

Completeness3/5

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

Given the simplicity of the tool (2 parameters, no output schema, no annotations), the description covers the core purpose adequately but lacks details on return format or error handling. It is minimally complete but could be enhanced.

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 coverage is 100%, as both parameters have descriptions in the input schema. The description adds no additional meaning beyond what the schema already provides, so the baseline of 3 is appropriate.

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 action (OCR) and the resource (screenshot), with examples of suitable content (code, terminal output, document). It effectively conveys the tool's primary function, though it does not explicitly differentiate from siblings like 'analyze_image' or 'describe_ui'.

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?

The description provides no explicit guidance on when to use this tool vs. alternatives (e.g., 'analyze_image', 'describe_ui'). It implies usage from the examples but does not state when not to use it or offer clear context for selection.

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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