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Generate meme

generate_meme

Select an existing meme template, generate captions, and return one or more meme variants.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeNoGeneration mode. Only template-based meme generation is supported.
toneNoCaption tone. Use this to steer the humor style, for example absurd or corporate.
apiKeyYesAgent or developer API key for AI meme generation.
promptYesPrompt describing the meme concept to generate.
toneCuesNoOptional extra style cues such as dry, playful, or bunny-coded.
rewriteNoteNoOptional rewrite direction that pushes the joke toward a specific flavor.
variantCountNoHow many meme variants to generate in one call. Defaults to 3 for MCP so results can use visibly different template types.
allowHeuristicFallbackNoWhether Memesio may fall back to heuristic captions if OpenAI captioning is unavailable. Defaults to false for keyed API/MCP calls.

TDQS

C2.9/5.0
Behavior2/5

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

The description adds no behavioral context beyond the annotations. Annotations already indicate readOnlyHint=false, idempotentHint=false, and destructiveHint=false, but the description does not explain side effects, costs, external API calls, or the heuristic fallback behavior described in the schema. It merely says 'generate captions' without disclosing how or what happens on failure. No contradiction with annotations.

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 a single, well-structured sentence: 'Select an existing meme template, generate captions, and return one or more meme variants.' Every word carries informational weight, and the sequence of actions is logical. It is both concise and front-loaded.

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

Completeness2/5

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

With 8 parameters, no output schema, and a non-trivial generation process, the description is under-specified. It does not describe the structure of 'meme variants' (URL, file, object?), the role of apiKey, or the practical implications of tone/rewriteNote. The single sentence covers only the high-level flow, leaving significant gaps for an agent.

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%, so the baseline is 3. The description itself adds no parameter-level semantics. It doesn't mention tone, variantCount, or fallback behavior, but the schema already documents all parameter meanings. Thus the description neither helps nor hurts beyond the schema.

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 clearly states the core action: 'Select an existing meme template, generate captions, and return one or more meme variants.' This is a specific verb-resource-outcome statement that distinguishes the tool from generate_gif (gif output) and search_templates (search-only). However, it does not explicitly differentiate from caption_template or caption_upload, which could also operate on templates or uploaded images.

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

Usage Guidelines2/5

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

No guidance is provided about when to use this tool versus its siblings. The description does not mention alternatives like generate_gif for GIFs or caption_template for simple captioning, nor does it give any use-case scenarios. The only hint is the schema's mode field restricting to template-based generation, but this is structural, not usage guidance.

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

A3.7/5.0
Disambiguation4/5

Most tools are clearly distinct: caption_template and caption_upload differ by source (template vs uploaded image), and generate_meme vs caption_template differ by automation level (AI-generated captions vs explicit slots). However, generate_meme and caption_template both involve template-based meme creation, which could cause minor confusion for an agent.

Naming Consistency5/5

All tool names follow a consistent snake_case verb_noun pattern (create, generate, get, search, caption). Minor ambiguity in 'caption_upload' (verb vs noun) does not break the overall pattern.

Tool Count5/5

With 8 tools, the server is well-scoped for a meme generator: it covers generation, template discovery, account management, and quota checking without being bloated or thin.

Completeness4/5

The tool surface covers the core meme generation lifecycle: search/ideas, static/GIF/upload generation, and account/quota management. Minor gaps like template preview or meme history management are not essential for the stated purpose.

Resources