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aaddyy_ghibli_generator

Convert any photo into Studio Ghibli anime art style. Upload selfies, pet photos, or landscapes to generate authentic Ghibli-style artwork.

Instructions

Transform any photo into stunning Studio Ghibli anime art style. Upload a selfie, pet photo, or landscape and get an authentic Ghibli-style artwork instantly. (~11 credits)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
promptNo
image_urlsYes
aspect_ratioNo
output_formatNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden. It does add two genuinely useful facts — that processing is instant and costs ~11 credits — but says nothing about what input format is required, whether images must be publicly reachable, or what the result looks like. For a paid mutation-style tool, that is a significant gap.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three short sentences, front-loaded with the core transformation and the cost caveat at the end. Every sentence carries information, though the second sentence partly restates the first with examples.

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?

With no output schema, no annotations, and 0% parameter coverage, the description should explain input format expectations and return behavior; it covers neither. The credit cost is the one piece of operational context included, leaving the definition under-specified for a 4-parameter paid tool.

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% and there are 4 parameters, none documented anywhere. The description only loosely implies image_urls via 'upload a photo' and says nothing about prompt, aspect_ratio, or output_format — including valid values for the latter two, which have no enums. It does not compensate for the coverage hole.

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?

States a specific verb+resource: transform a photo into Studio Ghibli anime art, with concrete input examples (selfie, pet photo, landscape). An agent can tell this apart from most utility siblings, though it doesn't explicitly distinguish itself from the other image-generation tools (aaddyy_image_generator, aaddyy_nano_banana) in the list.

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 by naming suitable inputs (selfie, pet photo, landscape), which gives an agent a rough sense of when this tool applies. It offers no exclusions, prerequisites, or routing guidance versus the many sibling image tools, so usage is only inferred.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.