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Scored across 12 tools
Each tool targets a distinct operation: conversion (pdf_to_jpg, pdf_to_word, office_to_pdf, image_to_pdf, webpage_to_pdf), manipulation (split, merge, compress), security (protect/unlock), and text (extract_pdf_text, ocr_pdf). The pair extract_pdf_text/ocr_pdf could seem close, but descriptions clearly explain OCR produces a text layer while extract retrieves existing text. No real overlap.
Most names follow a clear source_to_target or verb_noun convention (pdf_to_word, office_to_pdf, split_pdf, merge_pdfs). There are two styles mixed—conversion names use X_to_Y while manipulation names use verb_pdf—but both are readable and the pattern is semantically meaningful. Only ocr_pdf is an outlier.
12 tools is well within the ideal 3-15 range and each earns its place, covering conversion, manipulation, security and text extraction without redundancy. The count matches the scope of a focused PDF-utility API.
Core workflows are well covered: convert in/out, extract, OCR, split/merge, compress, protect/unlock. Minor gaps remain—no page rotation/reordering, no PDF-to-Excel/PPT, no watermarking or image extraction—but agents can work around these for most tasks.