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Generate GIF

generate_gif

Render a downloadable animated meme GIF from an approved GIF template. Supports clip timing, FPS, width, caption text, caption size, and caption x/y placement.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
fpsNoOutput playback FPS.
tagsNoOptional lowercase tags.
titleNoFilename/title hint for the generated GIF.
apiKeyNoOptional agent or developer API key for higher free-tier limits.
gifSlugYesApproved GIF template slug from search_templates.
startMsNoClip start time in milliseconds.
widthPxNoOutput width in pixels.
captionsNoCaption objects. Use x/y to control where each caption goes.
durationMsNoClip duration in milliseconds.
returnBase64NoReturn base64 and dataUrl in the MCP response. Defaults to true for MCP.

TDQS

A3.7/5.0
Behavior3/5

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

Annotations already indicate non-read-only and non-idempotent behavior. The description adds the 'approved template' constraint but does not disclose quota usage, rate limits, or output handling. Some context is added, but it is minimal.

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 sentences with the core purpose in the first and a concise feature list in the second. No fluff, well front-loaded for quick scanning.

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

Completeness3/5

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

The schema is rich, but the description lacks critical context such as the need to call search_templates first for an approved slug and what the output actually looks like (e.g., URL, base64). Since there is no output schema, the description should clarify 'downloadable' more precisely.

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 description coverage is 100%, so the baseline is 3. The description recaps features like clip timing, FPS, width, and captions, but does not add meaning beyond the schema's detailed parameter descriptions.

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?

Description uses a specific verb 'Render' and clearly states the resource: 'a downloadable animated meme GIF from an approved GIF template.' This distinguishes it from siblings like generate_meme by specifying animated and approved template.

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 usage context (needs an approved GIF template) but does not explicitly state when to use this tool versus alternatives like generate_meme, nor does it mention the prerequisite of calling search_templates first. This is implied usage rather than clear 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

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.

Naming Consistency5/5

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.

Tool Count5/5

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.

Completeness4/5

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.

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