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

Adds meaningful behavioral context beyond annotations: by default it only fills empty fields, and overwriting requires an explicit opt-in. Annotations already declare the mutation and open-world profile, so the remaining gap is minor, though credit cost and return behavior are unstated.

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 front-loaded sentences with no wasted text: purpose first, when to use it second, and the default overwrite behavior third.

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?

Adequate for a two-parameter mutation tool with rich annotations and schema descriptions. It could be more complete by saying what the tool returns or whether the call consumes credits, but the essential call behavior is well covered.

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%, and the schema already documents both the URL default and the overwrite semantics. The description reinforces the overwrite default with 'unless you say otherwise' but adds little parameter detail 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 action and outcome: reads the project's website and fills in brand-kit fields such as what it does, audience, keywords, and voice. This is clearly distinct from a generic analysis tool, though it does not explicitly name related siblings like update_brand_kit or get_brand_kit.

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 a clear trigger condition — brand kit empty and address known — and an alternative workflow, interviewing the user. The condition is slightly narrower than the tool's actual behavior, since the description also says it fills only empty fields, implying partial brand kits are usable.

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