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aaddyy_action_figure

Transform any photo into a realistic action figure toy in blister pack packaging. Choose from five styles and add a name and accessories.

Instructions

Transform any photo into a realistic action figure toy in blister pack packaging. Choose from 5 styles: Classic, Superhero, Barbie, LEGO, or Vintage. Add a name and accessories. (~7 credits)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameNo
styleNo
image_urlsYes
accessoriesNo
output_formatNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.2

TDQS

A3.7/5.0
Behavior3/5

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 usefully discloses a cost signal ('~7 credits') and the nature of the produced artifact, but omits input constraints (image requirements, whether multiple images are accepted) and processing/return behavior. Cost disclosure plus output nature earns slightly more than a bare minimum, but the behavioral picture is 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?

Three short sentences, front-loaded with the core transformation, then style choices, then optional extras. No filler and no repetition of the tool name; every sentence carries information.

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?

For a 5-parameter, no-annotation, no-output-schema tool, the description covers the creative intent but not the operational details: image_urls format/count, output_format options, and accessories format are unaddressed. It is adequate to understand what the tool does, but not complete enough to guarantee a correct first invocation.

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 0%, so the description must compensate and only does so partially. It helpfully enumerates the five style values (Classic, Superhero, Barbie, LEGO, Vintage) that the schema does not, and names the 'name' and 'accessories' inputs, but leaves image_urls format/multiplicity and output_format values entirely unexplained.

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?

Specific verb+resource: 'Transform any photo into a realistic action figure toy in blister pack packaging' names both the input (a photo) and the distinctive output (a packaged action figure). This is specific enough to separate it from the many generic image siblings like aaddyy_image_generator or aaddyy_headshot_generator without opening a schema.

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?

'Choose from 5 styles' and 'Add a name and accessories' imply how to tailor the result, giving implied usage rather than explicit guidance. There is no statement of when this tool is preferred over alternatives (e.g., vs. aaddyy_product_photo_studio or aaddyy_image_generator) and no exclusions or prerequisites.

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