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extract_text_from_clipboard

Extract text from any image in your clipboard using optical character recognition, enabling text-based AI models to read image content without manual saving.

Instructions

OCR the image currently in the clipboard and return only its text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description must convey all behavioral details. It only states the core function, omitting what happens if no image, OCR failure, or output format. For a tool with no annotations, this is insufficient.

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?

A single sentence efficiently conveys the full purpose with no redundancy. Every word 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?

Given no parameters or output schema, the description is largely complete. It explains input (clipboard image) and output (text). However, lacks details on error cases or prerequisites, which would be helpful for a standalone tool.

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?

The tool has zero parameters with 100% schema coverage, so baseline is 4. The description adds no parameter info but is unnecessary. It clearly conveys that the clipboard image is the implicit input.

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 clearly states the tool performs OCR on the clipboard image and returns text. The verb 'OCR' and resource 'image in clipboard' are specific, distinguishing it from siblings like 'extract_text' or 'code_from_clipboard'.

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

Usage Guidelines3/5

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

Usage is implied (when you have an image with text in clipboard), but lacks explicit when-not-to-use or alternatives. No mention of alternatives like 'extract_text' for other sources or 'analyze_clipboard' for different analysis.

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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