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make_meme

Destructive

Turn the user's photo into a meme in one call, in one of three layouts, and get the finished image as a download link. No meme images are bundled: the layout goes around THEIR photo. style classic: top and/or bottom text in an Impact-style condensed bold face (Anton if installed, then Oswald Bold, Bebas Neue, League Gothic, then the boldest condensed font that is, then any bold sans; the result says which), UPPERCASE unless uppercase is false, white with a black outline, centred, each fitted to a box about 92% of the width by 22% of the height at the top and bottom edges. style caption_bar: a white bar added above the photo with caption in black, left-aligned (Inter, Roboto or Open Sans if installed), the bar as tall as the text needs, at most 40% of the image. style demotivational: a black frame with a thin white keyline around the photo, title in a large serif (Playfair Display or Times if installed) and a smaller subtitle below, both white. The photo is not resized (a very large one is slow; the demotivational frame makes the canvas about 1.7 times larger, so photos over about 14 MP are refused by the pixel cap: resize first). It takes a checkpoint first and puts the image back if anything fails; on success the meme stays on the image as live layers (the text stays editable text layers) and the result gives the checkpoint id for the plain photo. Text longer than the box allows is shrunk down to a minimum size and then clipped (the result says so); keep it short.

Input Schema

NameRequiredDescriptionDefault
topNoclassic: the text at the top.
imageYesImage id, as returned by open_photo.
styleYesWhich layout.
titleNodemotivational: the title.
bottomNoclassic: the text at the bottom.
formatNoOutput format.jpg
captionNocaption_bar: the caption.
subtitleNodemotivational: the smaller line under the title.
uppercaseNoclassic: set the text in UPPERCASE (default). false keeps the case you typed.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.5/5.0
Behavior5/5

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

Annotations already cover the safety profile (destructiveHint=true, non-idempotent, open-world), and the description adds substantial context beyond them: a checkpoint is taken first and the image is restored on failure, success leaves the meme as live editable text layers, the result returns the plain photo's checkpoint id, oversized inputs are refused, and long text is shrunk then clipped with the result saying so.

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

Conciseness3/5

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

Purpose and output are front-loaded, which is good, but the body is a dense wall of text and the font fallback enumerations (Anton, Oswald Bold, Bebas Neue, League Gothic, Inter, Roboto, Open Sans, Playfair Display, Times) are low-value padding that hurts scannability without changing how an agent calls the tool.

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

Completeness5/5

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

With nine parameters, no output schema, and destructive non-idempotent semantics, the description carries the full burden and does it: it describes the return payload (download link plus checkpoint id), the failure/revert behavior, the size limit, and per-style rendering. An agent has everything needed to call it correctly on the first attempt.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, so the baseline is 3, but the description meaningfully expands it: it maps top/bottom/caption/title/subtitle to the layouts that consume them and explains typography, alignment, casing and sizing for each style (e.g. classic is white-with-outline, centered, fitted to a 92% x 22% box). It does not restate the format or uppercase enums beyond what the schema already documents.

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 first sentence gives a specific verb (turn into a meme), the resource (the user's photo), the scope (three layouts), and the output (a download link). It is trivially distinguishable from make_sticker, make_grid, make_carousel and make_story, all of which are separate meme-adjacent siblings.

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

Usage Guidelines4/5

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

It supplies real operating context: the input must be a photo id, photos over ~14 MP are refused by the pixel cap and must be resized first, and text should be kept short or it will be shrunk and clipped. It stops short of naming alternative tools or stating when NOT to reach for it, so it lands just below the explicit when/when-not/alternatives bar.

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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