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scan_document

Scan a document with configurable source, resolution, color, and format. Returns inline images for reading or OCR text, and saves as PDF or image files.

Instructions

Scan a document and return it so Claude can read it.

Args: scanner_id: Which scanner to use (from list_scanners). If omitted and exactly one scanner is found, that one is used; if several are found, an error lists them. source: auto | platen (flatbed glass) | adf (document feeder) | adf-duplex (feeder, both sides). resolution: DPI (150 fast, 300 documents, 600 fine). Default 300. color_mode: color | gray | lineart (1-bit black & white). output_format: png | jpeg | pdf. PDF is best for multi-page archives; images let Claude view the page inline. save_dir: Folder to save the scan in. Defaults to ~/Scans (or $SCANNER_MCP_SAVE_DIR). return_image: If true and the output is an image, the page images are returned inline so Claude can read the document directly. Ignored for PDF. ocr: If true, also OCR each page to text (requires Tesseract + pytesseract).

Returns a summary plus, when applicable, inline page images and/or OCR text.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ocrNo
sourceNoauto
save_dirNo
color_modeNocolor
resolutionNo
scanner_idNo
return_imageNo
output_formatNopng
Behavior4/5

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

With no annotations, the description carries full burden. It discloses that scanning creates a saved file (via save_dir), returns summary and optional inline images/OCR text, and handles errors when multiple scanners are found. This covers key behaviors adequately.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is moderately long but well-structured with clear argument explanations. Every sentence adds useful information, though minor condensation could improve readability without losing content.

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?

The description explains the return value (summary plus optional images/OCR text) and covers all parameters, which is sufficient given no output schema. It could mention more about error conditions or prerequisites, but core functionality is well-covered.

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

Parameters5/5

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

The description provides detailed explanations for all 8 parameters, including default values, allowed options, and usage recommendations. This fully compensates for the 0% schema coverage, adding significant value beyond parameter titles.

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 scans a document and returns it for Claude to read. It uses a specific verb ('scan') and resource ('document'), and distinguishes from the sibling tool 'list_scanners' which serves a different function.

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

Usage Guidelines4/5

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

The description explains the tool's purpose and references 'list_scanners' for obtaining scanner IDs, implying a prerequisite. However, it does not explicitly state when to avoid using this tool or compare with alternatives beyond the sibling.

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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