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Rd Api Txt2Anim

rd_api_txt2anim

Converts text prompts into animated pixel-art GIFs via Retrodiffusion's cloud API, producing frame PNGs and a final assembled GIF. Requires an API key.

Instructions

Retrodiffusion.ai cloud API: text to animation. Returns frame PNGs plus an assembled GIF (needs an API key).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
styleNopixel art
widthNo
heightNo
promptYes
api_keyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations provided, the description must carry the transparency burden. It discloses the output format (frame PNGs plus an assembled GIF) and the prerequisite of an API key. However, it does not mention any side effects, safety profile, rate limits, or failure modes, leaving the behavioral picture incomplete.

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?

A single sentence with zero filler. The core action is front-loaded ('text to animation'), followed by output details and the API key requirement. Every word earns its place.

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 description covers the essential output and API key requirement, but for a 6-parameter tool with zero schema coverage and no annotations, it leaves major gaps. The agent cannot infer how to supply parameters correctly. The presence of an output schema helps with return values, but parameter semantics remain unexplained.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters1/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 0% (no parameter descriptions in schema), so the description must compensate by explaining parameters. It does not mention prompt, style, seed, width, height, or api_key at all. The agent receives no guidance on what these parameters mean or how to fill them correctly.

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?

States a specific verb ('text to animation') and resource ('Retrodiffusion.ai cloud API'), clearly distinguishing it from siblings like rd_api_txt2img (text to image) and rd_api_img2anim (image to animation). The purpose is unambiguous and unique among the many animation and generation tools.

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

Usage Guidelines4/5

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

The description implies when to use it: for generating animations from text via the Retrodiffusion API. It does not explicitly name alternatives or state exclusions, but the purpose itself makes the usage context clear. The 'needs an API key' note is a usage constraint but not a comparison to other tools.

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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