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book_ocr

Book OCR v2: historical scans, ensemble EasyOCR+Tesseract, deskew, columns, Latin normalize, auto DPI retry.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dpiNo
urlYes
engineNoauto
profileNohistorical
end_pageNo
languagesNo
multi_passNo
preprocessNo
start_pageNo
auto_retry_dpiNo
use_text_layerNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

B3.4/5.0
Behavior4/5

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

With no annotations, the description carries the burden and it delivers concrete pipeline details: ensemble EasyOCR+Tesseract, deskew, column handling, Latin normalization, and auto DPI retry. It does not describe output format or cost/time behavior, but the disclosed processing steps are substantial.

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 dense line with no filler; every phrase conveys a distinct processing or input characteristic. The key identity ('Book OCR') is front-loaded, and the feature list is efficiently packed.

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?

For a tool with 11 parameters, 0% schema description coverage, and no output schema, the description is too thin. It gives selection-level context but omits return value semantics, what URL formats are accepted, page-range behavior, and how optional flags interact, so an agent cannot confidently invoke it correctly.

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, but it only hints at a few parameters: 'auto DPI retry' maps to auto_retry_dpi, 'ensemble EasyOCR+Tesseract' maps to engine, and 'Latin normalize' loosely relates to languages/preprocess. The required url, dpi, page-range parameters, multi_pass, and use_text_layer are left unexplained.

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 identifies a specific operation—OCR for books—and narrows the scope with 'historical scans,' 'ensemble EasyOCR+Tesseract,' and book-oriented preprocessing. It is clear enough to be distinguished from siblings like ocr_image or ocr_url, though it never explicitly says 'extract text from scanned book pages.'

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?

'Historical scans' and the advanced preprocessing features imply this is intended for old or complex book scans rather than simple images or tables. However, it does not name any sibling tools, state when not to use it, or explain when to prefer ocr_url, ocr_image, or extract_pdf.

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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