convert_word_to_pdf
Word to PDF — Convert a Word document (.docx, .doc) to PDF using LibreOffice. [category: convert]
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| file | Yes | Input file (DOCX, DOC) |
Word to PDF — Convert a Word document (.docx, .doc) to PDF using LibreOffice. [category: convert]
| Name | Required | Description | Default |
|---|---|---|---|
| file | Yes | Input file (DOCX, DOC) |
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?
Annotations already carry the safety profile (readOnlyHint=false, destructiveHint=false), and the description adds the LibreOffice engine and accepted formats beyond that. It does not disclose output behavior (returned file vs. link) or limitations like size or .doc fidelity, though the simple schema lowers the burden.
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 front-loaded sentence that states the action immediately. The '[category: convert]' tag is mild redundancy given the convert_ prefix, but it adds no significant bloat.
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 one-parameter converter with no output schema, the description covers the input side adequately. It does not state what the tool returns after conversion, and given dozens of convert siblings, a routing hint toward/away from convert_document or pdf_to_word would improve completeness.
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 described as 'Input file (DOCX, DOC)' in the schema itself. The description repeats the format scope but adds no new parameter-level meaning, so the high-coverage baseline of 3 applies.
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 states a specific verb and resource: 'Convert a Word document (.docx, .doc) to PDF using LibreOffice.' The explicit format coverage (.docx/.doc) and target output (PDF) distinguish it from the many convert_* and pdf_* siblings without needing to open the schema.
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?
Usage is implied by the name and format details — an agent can infer 'when a Word file needs PDF output.' However, no alternatives or exclusions are mentioned, which is a gap given the broad sibling list includes convert_document, convert_file, convert_batch, and pdf_to_word (the reverse operation).
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.