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Create a meme from a template

caption_image

Create a real meme by adding captions to an Imgflip template and receive the generated image inline with its URL.

Instructions

Create a real meme by captioning an Imgflip template — use this whenever the user asks for a meme instead of drawing one yourself. Returns the generated image inline plus its URL. Use get_memes first to find a template_id and its box_count. For simple two-line memes pass text0 (top) and text1 (bottom); for templates with more than two boxes, or for custom styling/positioning, pass the boxes array instead (boxes takes precedence over text0/text1). Requires a free Imgflip account (IMGFLIP_USERNAME / IMGFLIP_PASSWORD).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fontNoFont family (default: impact)
boxesNoUp to 20 text boxes for templates with more than two boxes or for custom positioning/colors. Omitted coordinates are auto-placed.
text0NoTop text (ignored when boxes is set)
text1NoBottom text (ignored when boxes is set)
template_idYesTemplate id from get_memes, e.g. "181913649" for Drake
no_watermarkNoRemove the imgflip.com watermark (Imgflip Premium only)
max_font_sizeNoMaximum font size in pixels (default: 50)
Behavior5/5

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

The description adds valuable behavioral context beyond the annotations: it states the tool returns an inline image plus URL, requires IMGFLIP_USERNAME/IMGFLIP_PASSWORD credentials, and clarifies that boxes overrides text0/text1. These details help the agent anticipate side effects and prerequisites.

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 yet information-dense, with a clear flow: primary use case, return value, prerequisite, parameter selection guidance, and authentication requirement. No filler or redundant repetition.

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?

For a tool with no output schema, the description sufficiently covers the return format (inline image + URL), the required setup (get_memes, credentials), and the key parameter strategies. This makes it complete for an agent to invoke the tool correctly in a realistic workflow.

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

Parameters5/5

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

Although the schema covers 100% of parameters, the description enriches the semantic meaning by explaining that template_id comes from get_memes, text0 is top text, text1 is bottom text, and boxes is an alternative that takes precedence. This adds practical usage guidance beyond the raw schema.

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 states the tool creates a meme by captioning an Imgflip template, with a specific verb and resource. It distinguishes itself from the sibling tool get_memes by focusing on the captioning action rather than fetching templates.

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

Usage Guidelines5/5

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

It explicitly says to use this whenever the user asks for a meme rather than drawing one, and instructs to call get_memes first to obtain template_id and box_count. It also prescribes when to use text0/text1 versus the boxes array, including the precedence rule.

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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