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Generate memes with AI (uses 1 credit)

generate_memes
Destructive

Given a situation, picks 6 fitting classic templates, writes captions for them with a language model and returns the 6 finished memes (text drawn on the stock template images, no AI image generation). Each meme is also saved to the user's My Memes. Requires the user's Memegician account and uses 1 credit from it per call.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "situation": "<situation>"
    },
    "name": "generate_memes"
  }
}

Input Schema

NameRequiredDescriptionDefault
situationYesWhat the memes should be about, e.g. "my code works on the first try"

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior4/5

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

Beyond the annotations, it discloses the account requirement, the 1-credit cost per call, and the persistent side effect of saving each meme to My Memes, which explains the destructiveHint=true and non-idempotent profile. It stops short of warning that repeated calls create duplicate saved memes and consume more credits, which the annotations imply but the text never states.

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 tight sentences with no filler; the mechanism (template + caption, not image generation) and output count come first, and the cost/auth constraint follows. Every clause carries information an agent would otherwise have to guess.

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?

With no output schema, the description correctly explains what comes back (six finished memes) and where they persist. The remaining gap is the return format, e.g. whether memes arrive as image URLs, attachments, or file paths, which an agent needs to chain into a follow-up step.

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 already carries a concrete example for "situation", so the baseline is 3. The phrase "Given a situation" reinforces that the parameter is a free-form scenario rather than a template ID, but adds no format or length guidance beyond the 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?

"Given a situation, picks 6 fitting classic templates, writes captions... and returns the 6 finished memes" names a concrete verb, resource, and output count. The parenthetical "no AI image generation" plus the batch-of-6 scope separates it cleanly from single-image siblings like render_meme.

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?

"Given a situation" implies the input mode, but the description never states when to prefer this over a single-render path, nor any when-not-to-use condition. An agent can infer it is the batch/auto-caption route, but the routing must be inferred rather than read.

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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