list_products

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

With no annotations provided, the description carries the disclosure burden. It tells the agent this is a browsing/read operation, indicates the prerequisite of registration, and clarifies pricing units. It does not mention return shape or pagination, but those are less critical for a simple zero-parameter catalog listing.

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 compact and front-loaded: the core action and pricing context are in the first sentence, while product categories and usage hint follow naturally. Every sentence contributes practical information without redundancy.

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 simple, parameter-free list tool, the description adequately conveys scope, pricing, included product families, and when it should be called. It could be slightly more explicit about returning product IDs for purchase_data, but the overall usage context is sufficient.

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 tool has zero parameters, so the schema fully covers all inputs by construction. The description adds no parameter-specific detail because none is needed; per the 0-parameter baseline this is appropriate.

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 specifies the verb 'Browse' and the resource 'all purchasable products with prices in credits', making it easy to distinguish from dataset-listing siblings. It also adds concrete catalog categories, giving the agent a practical picture of what the tool returns.

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 clear operational context: call after register_agent to see what to buy. It does not explicitly name alternatives or exclusions, but for a top-level listing tool the intended position in the workflow is clear.

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