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Apply UGC Style

apply_ugc
Read-onlyIdempotent

User-generated content — looks like a real person captured it casually. Choose: phone shot, film point-and-shoot, mirror selfie, or car selfie. Returns the styled prompt stack for your shot and the aspect_ratio to make it at — pair it with generate_image and pass that aspect_ratio along.

Input Schema

NameRequiredDescriptionDefault
styleYesphone_shot = iPhone-style snap. film_pointshoot = Contax T2 grain. mirror_selfie = bathroom/bedroom mirror. car_selfie = inside-the-car phone.
subjectNoWhat you want to shoot. E.g. "a woman walking through a hotel lobby" or "morning coffee on the balcony".
aspect_ratioNoOptional frame shape. Replaces the shape the style uses by default. The answer carries aspect_ratio: pass it to generate_image so the picture is made at that shape.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changed
    • addedInput schema / properties / aspect_ratio
      Added value: +{
      +  "description": "Optional frame shape. Replaces the shape the style uses by default. The answer carries aspect_ratio: pass it to generate_image so the picture is made at that shape.",
      +  "enum": [
      +    "9:16",
      +    "16:9",
      +    "1:1",
      +    "4:5",
      +    "5:4",
      +    "3:2",
      +    "2:3",
      +    "4:3"
      +  ],
      +  "type": "string"
      +}
  2. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnly, idempotent, non-destructive, and closed-world, so safety is covered. The description adds value beyond that by disclosing the return shape (styled prompt stack plus an aspect_ratio to forward), which is important given there is no output schema.

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 compact sentences, front-loaded with the core concept and the style choices. The aspect_ratio forwarding instruction is stated twice (once in the body, once implied again), a minor redundancy.

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

Completeness4/5

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

For a read-only, no-output-schema tool, the description covers what it does, the options, and what comes back. The only meaningful gap is sibling disambiguation versus apply_iphone_realism and other apply_* style tools.

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 coverage is 100% and each enum value is documented in the schema, so the schema does the heavy lifting. The description reinforces the aspect_ratio round-trip but adds no new syntax or constraint beyond what the schema already provides, making baseline 3 correct.

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 names a specific verb ('apply', UGC style) and enumerates the four concrete style variants, so an agent knows exactly what the tool produces. It does not, however, distinguish itself from near-duplicate siblings like apply_iphone_realism or apply_style, even though phone_shot is described as 'iPhone-style snap'.

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?

It gives a clear downstream workflow ('pair it with generate_image and pass that aspect_ratio along'), which is genuinely useful. But there is no explicit when-to-use/when-not guidance and no routing away from apply_iphone_realism, which overlaps heavily with the phone_shot variant.

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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