idin9-doc-ocr-mcp
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TDQS
Scored across 9 tools
Most tools have clearly distinct purposes: extraction, batch processing, scanner polling, record retrieval, review, contact management, and health checks. The only slight overlap is between ocr_batch_process and ocr_poll_scanner_share, since both process files from directory-like sources.
All tools share the ocr_ prefix and use snake_case, which creates a strong predictable pattern. However, ocr_batch_process and ocr_system_health deviate from the strict verb_noun structure used by most other tools.
Nine tools is well-scoped for an OCR invoice processing server covering ingestion, extraction, retrieval, review, contacts, and system health. Each tool serves a meaningful part of the workflow without redundancy or bloat.
The toolset covers the main OCR invoice lifecycle: extract, batch process, poll scanner, retrieve/list records, review low-confidence results, manage contacts, and check health. Minor gaps exist, such as no direct update/delete for processed invoice records outside the review flow or explicit reprocessing of failed items.