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photo_resize

Resize Image — Resize an image by pixel dimensions, percentage, fit-within-max, or exact canvas. Supports maintaining aspect ratio. [category: photo]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesJPG, PNG, WebP, GIF, BMP
modeNo'max' fits within width×width and never upscales; 'canvas' resizes then pads to exact WxH with bg_color; 'percentage' scales by %.dimensions
widthNoTarget width px. In the default 'dimensions' mode at least one of width/height is REQUIRED; also required for width/max/canvas modes.
heightNoTarget height px.
bg_colorNoCanvas background color (mode=canvas).white
percentageNoScale percentage — REQUIRED when mode=percentage.
strip_metaNoStrip EXIF metadata from the output.
force_exactNoForce exact dimensions, ignoring aspect ratio.
maintain_ratioNoKeep aspect ratio (dimensions mode). Field name is 'maintain_ratio' — not 'maintain_aspect'.

Schema Changelog

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

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

The description adds behavioral context by listing resize modes and aspect-ratio support, while annotations already indicate the tool is neither read-only nor destructive. It does not disclose output format, whether the original file is modified, or side effects such as default EXIF stripping, though some of this appears in the schema.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded, with only two content-bearing sentences and a category tag. The 'Resize Image —' prefix is somewhat redundant with the tool/title name, but the rest is efficient and free of filler.

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?

For a tool with nine parameters and full schema coverage, the description provides enough high-level context to select and invoke it correctly. The output is inferable as a resized image, and the missing return-format details are minor given the otherwise complete schema and clear operation.

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 coverage is 100% with detailed parameter descriptions for every field, so the description carries little parameter burden. It provides high-level mode categories that map to the mode enum, but it adds no meaningful parameter semantics beyond what the schema already documents.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific operation ('Resize an image') and enumerates the resizing strategies: pixel dimensions, percentage, fit-within-max, and exact canvas. This makes the tool's purpose clear and distinct from sibling crop/editor tools, though it does not explicitly name a sibling for contrast.

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 — when an image needs resizing — and highlights aspect-ratio support, but it does not explicitly say when to prefer this over photo_crop, photo_compress, or photo_editor, nor does it mention exclusions. Usage context is present but implied rather than explicit.

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