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

Annotations already declare readOnlyHint and idempotentHint, so the description's addition of 'returns the styled prompt stack' gives concrete behavioral context beyond those flags. It does not overstate side effects and aligns with the read-only nature, though it could add a bit more about output format specifics.

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?

The description is two sentences, front-loads the core purpose, uses a compact list for photographer moods, and ends with the essential return/usage note. Every word adds value with no redundancy.

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?

For a style-applier tool with a well-documented schema and no output schema, the description adequately explains what the tool returns (styled prompt stack) and how to use it (pair with generate_image). It covers the necessary workflow without requiring extra detail about output structure.

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%, providing the baseline, but the description enriches style semantics by mapping friendly names like 'Mario Testino glossy' and 'Steven Klein dark cinematic' to the enum values. It also clarifies that subject is what you want to shoot, adding practical use context 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?

The description clearly states the tool applies high-fashion editorial style, specifically listing photographer moods and noting it returns a styled prompt stack to pair with generate_image. This distinguishes it from sibling style tools like apply_cinematic_anamorphic or apply_travel by focusing on high-fashion editorial energy.

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?

The description provides strong contextual guidance: use this for high-fashion magazine/editorial shots and pair the output with generate_image. It does not explicitly say when not to use it versus sibling tools, but the clear stylistic focus and paired workflow give adequate direction.

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