get_attribute_set

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

With no annotations, the description carries the burden of behavioral disclosure. 'List' clearly signals a read-only operation, and the description specifies the content of the result: required status, allowed values/options, and validation rules. It does not mention error behavior or response format, but the core behavioral traits are transparent.

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 efficient sentences. The first states the action and result details; the second provides a vital input-source tip. There is no fluff or redundant repetition of the tool name or schema.

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 one-parameter read-only tool with no output schema, the description covers what the call returns and where the required input comes from. It could add response structure or failure behavior, but nothing essential for selecting and invoking the tool is missing.

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?

The schema only defines attribute_set_id as a string with 0% coverage. The description compensates by explaining that the ID belongs to a category's attribute set and specifically where to obtain it: list_categories()'s attributeSet.sid field. This gives actionable semantics beyond the bare 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 states a specific verb and resource: it 'List[s] the attributes' for a category's attribute set. It further clarifies what is returned—required or not, allowed values/options, validation rules—which distinguishes it from sibling tools like list_categories and list_orders.

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 an explicit source for the required parameter: 'Get attribute_set_id from list_categories()'s attributeSet.sid field.' This tells the agent when and how to call the tool in a workflow. It does not enumerate alternatives, but no clear alternative tool exists for retrieving attribute metadata.

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