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pdf_ocr

OCR PDF (Make Searchable) — Make a scanned PDF searchable and selectable by adding an invisible OCR text layer over the page images — the pages look identical, but the text becomes findable, copyable, and indexable. Uses ocrmypdf (Tesseract + Ghostscript); already-searchable pages are skipped, so it is safe to run on mixed documents. This CREATES a text layer — to EXTRACT text that already exists, use pdf_to_text instead. [category: pdf] [requires the starter plan]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesScanned PDF to make searchable.
langNoTesseract language code(s): three letters, joinable with '+' (e.g. 'eng', 'deu', 'eng+fra'). The pack must be installed on the server.eng

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.5/5.0
Behavior4/5

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

Beyond the annotations, the description discloses that pages look identical after processing, that already-searchable pages are skipped, and that the operation uses ocrmypdf (Tesseract + Ghostscript). It could be slightly more explicit about whether a new file is returned or the input is modified, but the main behavioral traits are well covered.

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 front-loaded with the tool's purpose and mechanism, then adds behavioral safety details and an alternative routing. Each clause contributes distinct value, and the metadata tags are compact rather than repetitive.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter tool with no output schema, the description covers the operation, visual result, mixed-document safety, alternative tool, dependency, and plan requirement. Nothing essential for an agent to select and invoke this tool correctly is missing.

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?

Schema description coverage is 100%, and the schema already explains both parameters: file is a 'Scanned PDF to make searchable' and lang includes format, examples, and a server-pack caveat. The tool description adds little parameter-level meaning beyond the schema, so the baseline 3 applies.

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 states a specific verb and resource: making a scanned PDF searchable by adding an invisible OCR text layer over page images. It also explains the observable effect—text becomes findable, copyable, and indexable—and explicitly positions it against pdf_to_text, so an agent can distinguish it from siblings without opening schemas.

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

Usage Guidelines5/5

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

It gives clear when-to-use guidance: scanned PDFs that need a searchable text layer. It also gives a when-not-to-use condition and names the correct alternative: 'to EXTRACT text that already exists, use pdf_to_text instead.' The note that already-searchable pages are skipped adds practical guidance for mixed documents.

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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TDQS

B3.2/5.0
Disambiguation2/5

Multiple tool pairs are near-identical: octopus_mkdir/octopus_make_folder and octopus_move/octopus_move_file are literal duplicates, analyze_hash/generate_hash both compute hashes, convert_word_to_pdf overlaps convert_document, and photo_compress/photo_compress_to_size plus pdf_thumbnails/pdf_to_images have fuzzy boundaries. The descriptions are detailed and cross-reference each other helpfully, but at 144 tools an agent will regularly misselect.

Naming Consistency3/5

The dominant {category}_{verb}_{object} snake_case pattern (pdf_*, photo_*, convert_*, analyze_*, media_*) is largely consistent and predictable. However, outliers like chatwithyourpdf and describe_image break the category-prefix convention, and the octopus namespace mixes bare verbs (read, write, mkdir) with verb_noun forms (make_folder, move_file, search_meta) inconsistently.

Tool Count2/5

144 tools is an extreme count for any MCP server. The broad scope (PDF, photo, video, audio, conversion, analysis, generation, file storage, web, e-sign) justifies some volume, but the count is inflated by batch and inspect variants (pdf_to_excel + batch + inspect), duplicate tools, and overlapping converters. An agent faces an overwhelming selection surface.

Completeness4/5

Per-domain coverage is remarkably deep: PDF spans merge/split/compress/protect/unlock/metadata/OCR/watermark and bidirectional conversion; photo covers editing, format conversion, face handling, OCR, and collage; file storage has full CRUD plus search. Minor gaps exist (no audio transcription, no video metadata editing, no deletion of PDF pages is actually covered via pdf_delete_pages) but the surface has no dead ends for its declared domains.

Resources