pdf_repair
Repair PDF — Attempt to repair a corrupted or malformed PDF using Ghostscript. [category: pdf]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| file | Yes | Input file (PDF) |
Repair PDF — Attempt to repair a corrupted or malformed PDF using Ghostscript. [category: pdf]
| Name | Required | Description | Default |
|---|---|---|---|
| file | Yes | Input file (PDF) |
Changes observed during successful MCP inspections. Dates show when Glama detected each change.
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The word 'Attempt' appropriately signals that repair may not always succeed, which adds behavioral nuance beyond the annotations. However, the description does not clarify whether the tool returns a repaired PDF, overwrites the input, or produces a new file, leaving some behavioral ambiguity.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single compact sentence that front-loads the purpose and method. Every component earns its place, and the category tag is unobtrusive.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a tool with one clearly documented parameter and simple semantics, the description is mostly complete. The main gap is the lack of explicit output/return behavior, but the tool's purpose is straightforward enough that an agent can infer it returns the repaired PDF.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100% and the single 'file' parameter is already described as 'Input file (PDF)', so the description adds no additional parameter meaning. It correctly implies the file should be a PDF, but the schema already says this.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the tool repairs a corrupted or malformed PDF using Ghostscript, which is a specific verb and resource. It is distinct from all sibling tools, none of which offer PDF repair.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies the tool should be used when a PDF is corrupted or malformed, which is useful context. However, it does not explicitly say when not to use it or name alternatives, such as pdf_unlock for password-protected files.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
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.
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.
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.
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.