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

The description adds one meaningful behavioral detail: style-level references are 'baked into the custom style' and are distinct from per-inference reference_images. It does not disclose whether unspecified fields are preserved or reset, what side effects updating a style has, or any auth-related behavior. The annotations are also internally inconsistent because destructiveHint appears twice with conflicting values.

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 three short sentences with no filler. The core operation is front-loaded, and the important caveat about style-level references is stated clearly and compactly.

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 tool with 18 parameters, an output schema, and several mutual-exclusion constraints, the description is somewhat thin. It covers the endpoint and the reference distinction, and the schema compensates for parameter-level details, but it omits update semantics such as whether omitted fields are preserved and does not guide the agent on when to update versus create or delete a style.

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 description coverage is 100%, and the schema already documents parameter meanings, defaults, and constraints such as min_width being required together with min_height. The description adds only the style-level versus per-inference reference distinction, which is useful but only partially extends beyond the schema text.

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 opens with 'Update a public RD Pro user style using /v2/styles/{style_id}', which names a specific verb, resource, and endpoint. This clearly identifies the operation as an update rather than a read or list operation, though it does not explicitly contrast with create_user_style or delete_user_style.

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 gives useful guidance for choosing style_reference_images/style_reference_caption over per-inference reference_images, which helps with parameter selection. However, it does not explain when to prefer update_user_style over create_user_style or delete_user_style, nor does it mention preconditions or when not to use this tool.

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