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

Since there are no annotations, the description carries the full behavioral burden. It successfully communicates critical non-functional traits, namely that the output is delivered as a 'full prompt kit' with 'step-by-step instructions' and a '30-day support promise.'

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 sentences long and uses strong, focused language to communicate the tool's value proposition. While slightly marketing-heavy, every sentence provides distinct, useful information about the product's function and delivery model.

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 complex, service-oriented tool whose output is not a simple static result but a 'kit' with support, the description is highly complete. It successfully defines the delivery and commercial context, which is vital for agent selection.

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?

With schema description coverage already at 100%, the input schema for the optional 'query' parameter is well-documented. The description adds marginal value by framing the query as a way 'to scope the analysis.'

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 identifies the core function: generating a 'member system design workflow' for the restaurant and brand industries. While the target domains are specified, it does not explicitly differentiate this workflow design from other related sibling tools like 'brand-strategy-planner.'

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 offers almost no guidance on when the user should invoke this tool versus alternatives. It functions more as marketing copy than as operational usage guidance for an AI agent.

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