Skip to main content
Glama

Apply Wellness

apply_wellness
Read-onlyIdempotent

Wellness / yoga / fitness / lifestyle campaign — warm amber tropical, tropical paradise cinematic, or high-key cyan beach. 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
styleYeswarm_amber_tropical = warm honey grade with golden haze. hanalei_cinematic = soft golden mist + infinity pool reflection. high_key_cyan_beach = bright daylit cyan ocean.
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

A3.9/5.0
Behavior4/5

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

Annotations already cover safety (readOnly, idempotent, non-destructive), so the description's job is to add context — and it does: it discloses that the tool returns a styled prompt stack plus an aspect_ratio rather than an image, which is essential since there is no output schema. It does not say whether the result is cached or how the stack is composed, but the key behavioral fact is present.

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?

Two compact sentences, domain front-loaded and the return/integration note second. The re-listing of the three style names partially duplicates the enum and is the only slack.

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?

With no output schema, describing the return value (prompt stack + aspect_ratio) was mandatory and is done. Parameters are fully documented in-schema, and the generate_image handoff closes the workflow loop. Nothing critical is missing for correct 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 100% and both enums are documented in-schema, so the baseline is 3. The description restates the style names and echoes the aspect_ratio handoff already explained in the schema, adding no format or syntax detail beyond it.

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 pins down the domain ("wellness / yoga / fitness / lifestyle campaign") and enumerates the three concrete presets, so an agent can tell what look it produces. It never explicitly names a sibling like apply_style or apply_travel as the alternative, so differentiation is implicit via the domain label rather than stated.

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?

It gives an explicit downstream step — "pair it with generate_image and pass that aspect_ratio along" — which is a real usage instruction most siblings lack. What's missing is a when-not clause (e.g. when to prefer apply_style or apply_travel instead).

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

Resources