get_template_ideasTurn a prompt into ranked meme template ideas.
| Name | Required | Description | Default |
|---|---|---|---|
| limit | No | Maximum number of ranked template suggestions to return. | |
| apiKey | Yes | Agent or developer API key for keyed template-idea access. | |
| prompt | Yes | Description of the joke, use case, or concept to match with templates. | |
| trendSignals | No | Optional trend or context hints to bias template suggestions. |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description adds no behavioral context beyond the annotations. Annotations already declare readOnlyHint and idempotentHint, so the agent knows it's safe, but the description does not disclose ranking behavior, output format, or any rate-limiting details. It is purely functional.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, front-loaded sentence with no unnecessary words. It communicates the core function efficiently and is appropriately sized for its minimal scope.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Despite the simple nature of the tool, there is no guidance on selection relative to sibling tools, no description of the return value or ranking semantics, and no mention of output schema (which is absent). The description is too sparse to fully orient an agent, especially given the unrelated sibling tools in the same namespace.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema provides 100% coverage of all 4 parameters with descriptions, so the description need not add parameter details. The baseline score of 3 is appropriate since the schema carries the full burden.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
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' clearly states the tool's function and output type. It distinguishes itself from siblings like search_templates by focusing on idea generation rather than searching, but it could be more explicit about how it differs from generate_meme.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided on when to use this tool vs alternatives such as search_templates or generate_meme. There is no mention of prerequisites, exclusions, or preferred contexts, leaving the agent to infer usage from the name and description alone.
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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Tools are mostly distinct, but generate_meme and caption_template both involve rendering memes, and search_templates vs get_template_ideas could be confused. Yet descriptions help clarify intent, so only minor ambiguity exists.
All tools follow a consistent verb_noun pattern with snake_case, such as search_templates, generate_meme, and get_ai_quota. No mixed conventions or vague verbs.
8 tools is well within the ideal 3-15 range and each tool covers a distinct aspect of meme generation, account management, and quota checking, so the count is appropriate.
The domain of meme generation is well covered with template search, idea generation, static and GIF meme creation, and caption rendering. Minor gaps like account management (e.g., deletion) or more detailed template information are workarounds, but core workflows are complete.