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photo_meme_generator

Meme Generator — Add bold top and bottom caption text to an image in Impact-style font. At least one of top_text/bottom_text is required. [category: photo]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fileYesBase image — JPG, PNG, WebP, BMP (max 25MB)
fontNoIf Impact isn't installed the server substitutes DejaVu-Sans-Bold; X-JE-Font-* response headers report what actually rendered.Impact
top_textNoTop caption. At least ONE of top_text/bottom_text must be non-empty or the request is rejected.
font_sizeNo'auto' or a pixel size.auto
font_colorNoCaption fill — #rrggbb or #rrggbbaa hex only; invalid values silently revert to #ffffff.#ffffff
bottom_textNoBottom caption.
stroke_colorNoCaption outline hex; invalid values silently revert to #000000. Drawn at 2x stroke_width beneath the fill.#000000
stroke_widthNoOutline stroke width, 1-8.
output_formatNoDefaults to the input image's format.

Schema Changelog

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

  1. First observed

TDQS

A3.6/5.0
Behavior3/5

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

Annotations (readOnlyHint=false) correctly signal a mutating operation, and the description adds the key validation behavior: at least one caption is required or the request is rejected. Much of the deeper behavioral detail (silent font substitution with X-JE-Font-* headers, invalid colors reverting to defaults, stroke layering) lives in the schema rather than the description, but it is still available to the agent. The description uniquely contributes the rendered-style context but no side-effect, authentication, or rate-limit details.

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?

Two sentences plus a category tag, with zero filler. The first sentence front-loads verb, resource, and style; the second states the single cross-parameter validation rule that determines request success. Every element earns its place.

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 9-parameter tool, the description is complete enough because the schema covers every parameter in detail and annotations establish the safety profile. No output schema exists, but the expected result (the image with captions applied) is self-evident from the purpose statement. Minor gap: the description doesn't mention response shape or the output_format default behavior, but the schema already covers the latter.

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% and the schema descriptions are unusually rich (font fallback behavior, silent color reverts, stroke draw order, enum constraints, defaults). The description's only param-adjacent statement ('At least one of top_text/bottom_text is required') duplicates what top_text's schema description already states, so the description adds no net new parameter meaning. Baseline 3 applies since the schema does the heavy lifting.

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 uses a specific verb ('Add') with a clear resource ('caption text to an image') and distinctive style markers ('bold top and bottom... Impact-style font'), making the meme-generation purpose unmistakable. It differentiates from siblings like photo_watermark and photo_image_overlay through the top/bottom caption framing, though it never names an alternative explicitly.

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 intended use case is implied by the 'Meme Generator' framing, so an agent can reasonably infer when to invoke it. However, with 100+ siblings including overlapping tools like photo_editor, photo_watermark, and photo_image_overlay, there is no explicit when-to-use/when-not-to-use guidance or named alternatives to route around confusion.

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