get_inventory_by_fulfillment_center

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

The description discloses that the tool is a stub and implies a read-only operation, which aids transparency. Without annotations, it carries the full burden, and it could further detail the expected behavior (e.g., returns empty or mock data), but it is sufficient.

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 sentences, front-loading the purpose and critical stub note. No 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?

For a stub tool, the description sufficiently conveys purpose and limitations. However, it lacks details on return format or error handling, which would be needed for a production tool. Given the stub context, it is nearly complete.

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 input schema has 100% description coverage, so the description adds no new parameter meaning beyond the schema. According to guidelines, baseline 3 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 states the verb (read) and resource (inventory stock levels per fulfillment center), making it distinct from sibling tools like get_fba_inventory or get_inventory_health. It is specific and actionable.

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?

Explicitly notes that the tool is a hosted endpoint and that this server is only an introspection stub, guiding the agent not to rely on it for real data. This provides clear context for when (not) to use it.

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