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

Annotations already declare readOnly, idempotent, non-destructive behavior, so safety is covered. The description adds the non-obvious behavioral fact that this tool produces no media itself but returns a prompt stack and recommended aspect_ratio, which is exactly the context an agent needs.

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

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

Three short sentences, front-loaded with the aesthetic, then output, then the follow-up action. Marketing adjectives ('premium fashion-magazine grade') are minimal and serve to convey the visual target.

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

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

With no output schema, the description correctly compensates by naming the return values (prompt stack, aspect_ratio). What remains thin is guidance on choosing this preset versus sibling presets, which matters given the crowded style-tool family.

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

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

Schema coverage is 100% with enum descriptions for both style options and aspect_ratio, so the schema does the heavy lifting. The description echoes the two style modes (studio vs golden-hour outdoor) and the aspect_ratio pass-through but adds no format or default details beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific aesthetic preset and its output ('styled prompt stack' plus aspect_ratio), which tells the agent exactly what this returns rather than a generated image. It does not distinguish itself from close siblings like apply_high_fashion_editorial or apply_magic_hour_portrait, so the agent cannot tell which preset to pick from the description alone.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

Gives concrete downstream usage — 'pair it with generate_image and pass that aspect_ratio along' — which is genuinely useful workflow guidance. It offers no when-to-use/when-not guidance relative to the many sibling style presets, leaving selection between presets to inference.

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