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Get template ideas

get_template_ideas
Read-onlyIdempotent

Turn a prompt into ranked meme template ideas.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of ranked template suggestions to return.
apiKeyYesAgent or developer API key for keyed template-idea access.
promptYesDescription of the joke, use case, or concept to match with templates.
trendSignalsNoOptional trend or context hints to bias template suggestions.

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, covering the tool's safety profile. The description only adds the 'ranked' qualifier and does not disclose additional behaviors such as rate limits, API key requirements (already in schema), or empty-result handling, offering minimal value beyond the 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, front-loaded sentence with no unnecessary words. It efficiently captures the tool's essential function without redundancy, making it highly concise and well-structured.

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?

Without an output schema, the description only mentions 'ranked meme template ideas' but does not specify the exact return format. However, the tool is relatively simple, annotations provide safety context, and the schema documents all parameters, making the description mostly sufficient for an agent to invoke it correctly.

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?

The input schema has 100% coverage with descriptions for all four parameters (apiKey, prompt, limit, trendSignals). The description adds no additional parameter semantics, so the baseline score of 3 is appropriate—the schema already carries the informational weight.

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 'Turn a prompt into ranked meme template ideas' uses a specific verb ('turn') and clearly identifies the resource ('meme template ideas') with a distinctive output trait ('ranked'). This distinguishes it from sibling tools like search_templates and generate_meme, making the purpose immediately clear.

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 description implies when to use the tool—whenever a prompt needs to be converted into ranked template ideas—but it does not explicitly discuss alternatives or exclusions. No comparison to sibling tools like search_templates or caption_template is provided, so the agent must infer the appropriate context.

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