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ocr_image

Extract text from images using OCR. Supports plain, Markdown, and JSON output with optional language hints.

Instructions

Extract text from an image using OCR. Supports plain text, Markdown, and JSON output formats.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
imageYesImage source: local file path or URL
formatNoOutput format for extracted textplain
languagesNoHint for expected languages, e.g. 'zh,en'
Behavior2/5

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

Without annotations, the description should disclose behavioral traits. It only states it extracts text via OCR but does not mention read-only nature, error handling, performance, or authentication needs. The description adds no behavioral context beyond the basic function.

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 extremely concise, consisting of two short sentences that immediately convey the core purpose and output options. No unnecessary words.

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 tool has 3 parameters and no output schema or annotations, the description lacks completeness. It does not explain potential failures, image format support, or how to interpret results. The missing context makes it less useful for an agent.

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?

All parameters are covered in the input schema (100% coverage). The description adds minimal extra meaning by naming output formats, but this aligns with the format enum. No significant semantic enhancement beyond schema.

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 tool's action (extract text using OCR) and specifies supported output formats. It is specific enough to distinguish from sibling tools like analyze_image or compare_images, though it does not explicitly differentiate.

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 minimal guidance on when to use this tool. It lists output formats but does not compare against sibling tools or specify conditions for use (e.g., image quality, file size limits). There is no when-not-to-use advice.

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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