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Rd Api Img2Anim

rd_api_img2anim

Convert a static image into an animated pixel-art sequence using Retrodiffusion.ai cloud API, delivering frame PNGs and an assembled GIF. Requires an API key.

Instructions

Retrodiffusion.ai cloud API: image 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
image_pathYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3/5.0
Behavior3/5

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

With no annotations, the description carries the full burden. It discloses the external cloud dependency, the need for an API key, and the output artifact (frame PNGs + GIF), which are non-obvious. It does not mention network failure modes, cost/rate limits, or whether image_path is local or remote, so disclosure is partial.

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 17-word sentence with no filler; the service identity, conversion, outputs, and auth requirement appear before any details. There is nothing to cut or restructure.

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?

Seven parameters, a cloud dependency, and no schema descriptions demand more than a single sentence. The description omits input path semantics (local vs URL), output frame count/duration, and parameter roles, making it insufficient for reliable invocation despite the output schema existing.

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

Parameters2/5

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

Schema description coverage is 0%, so the description needed to clarify parameters but only indirectly implies image_path/prompt roles via 'image to animation' and notes api_key. It does not explain style, width/height, seed, or how prompts drive animation, leaving the agent to infer from param names and defaults.

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 identifies the operation as image-to-animation conversion via Retrodiffusion.ai and specifies the output ('frame PNGs plus an assembled GIF'). It lacks an explicit verb and does not name sibling tools for contrast, but the cloud-API and image-to-animation framing distinguish it from rd_generate and rd_api_txt2anim.

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?

There is no guidance about when to choose this cloud API over local alternatives like rd_img2img or rd_generate, nor any exclusions. The only usage-related note is the API-key requirement, which is a prerequisite, not a selection criterion.

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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