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pdf_set_metadata

Set PDF Metadata — Write or update metadata fields (Title, Author, Subject, Keywords) in a PDF. Fields are soft-verified after writing (mismatches are logged, not failed). At least ONE of title/author/subject/keywords must be provided or the request is rejected. [category: pdf]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesThe PDF to edit. Password-protected input is rejected 400 — run pdf_unlock first.
titleNoAt least one of title/author/subject/keywords is required.
authorNoWritten verbatim to Author. Empty = left unchanged — this tool cannot blank a field (use pdf_remove_metadata to clear).
subjectNoWritten verbatim to Subject. Empty = left unchanged — clearing a field is not possible here (use pdf_remove_metadata).
keywordsNoFree-text Keywords string written verbatim (commas are convention, not parsed). Empty = left unchanged, never cleared.

Schema Changelog

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

  1. First observed

TDQS

A4/5.0
Behavior4/5

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

Annotations only indicate a write operation that is not destructive. The description adds meaningful behavior: fields are soft-verified after writing, mismatches are logged rather than failed, and the request is rejected if no metadata field is provided. This goes beyond the annotations and helps an agent predict failure modes.

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 compact and front-loaded: purpose first, then verification behavior, then the required-field constraint. Every sentence contributes useful information, and the [category: pdf] tag is unobtrusive.

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

Completeness4/5

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

The full definition—description plus schema—covers the core invocation needs well: required file, field semantics, inability to blank fields, and password-protected input handling. There is no output schema, so return-value details are not fully specified, but the soft-verification behavior gives enough expectation for normal use.

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%, so the parameters are already well documented. The description adds the at-least-one constraint and lists the writable fields, but it does not provide significant meaning beyond what the schema already states about empty values, clearing behavior, or password-protected input.

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 clearly identifies a specific action and resource: writing or updating metadata fields (Title, Author, Subject, Keywords) in a PDF. It is distinguishable from siblings like pdf_get_metadata and pdf_remove_metadata, and the explicit field list removes ambiguity about what the tool does.

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

Usage Guidelines3/5

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

The description implies when to use the tool through its name and 'Write or update metadata' phrasing, but it does not explicitly name alternatives or exclusions in the main description. The schema does mention using pdf_remove_metadata for clearing fields, but the description itself relies on inference rather than direct routing.

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