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

Since no annotations are provided, the description must carry the full burden of behavioral context. It successfully discloses what is returned—namely, the discount and the specific unlock page—which is crucial when there is no output schema to define the response format.

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 highly concise and efficient, using two clear sentences. The first sentence defines the action, and the second defines the return value, ensuring maximum information density with zero wasted words.

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?

Given the simplicity of the tool (only one input parameter and no defined output schema), the description is remarkably complete. It defines both the required input (brand name) and the key pieces of expected output data (discount and unlock page).

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% for the single parameter, meaning the schema provides most of the necessary detail. The description adds semantic context by clarifying that the input must be a 'baby or kids brand,' though this is largely redundant given the clear string type in 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's purpose: retrieving the current Cubbie Club discount for a specific brand. It distinguishes its scope by specifying retrieval 'by name,' which narrows its purpose compared to broader sibling tools like 'search_offers.'

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?

Usage is implied by the singular parameter 'brand' and the explicit context of the discount being retrieved 'by name.' However, it does not explicitly instruct the agent on when to use this tool versus, for example, searching for brand offers based on other criteria.

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