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

Annotations already declare readOnlyHint, destructiveHint=false, and openWorldHint=false, so the safety profile is covered. The description adds genuine value beyond that by disclosing the returned field set (substituting for the missing output schema) and domain constraints like the inventory-tracking default and channel-listing behavior.

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?

Front-loaded with what the tool returns, followed by domain meaning and then the downstream usage link. The long field enumeration is dense but justified because no output schema exists; nothing is clearly wasted, though it reads as a single run-on list.

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 no-param, no-output-schema list tool, the description carries the return-value burden well by naming every field, and annotations cover safety. Domain context and the create_product linkage round it out; only the absence of any pagination/volume note keeps it from being fully 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?

There are zero input parameters, so there is nothing for the description to clarify; the baseline for a 0-parameter tool is 4. No parameter-level meaning is expected or missing.

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?

States a specific verb (list) and resource (this workspace's warehouses), and enumerates the exact fields returned, so an agent knows precisely what it gets. It also anchors the concept in the domain ('a product lives in at most one warehouse'), which distinguishes it from generic listing tools.

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 ties the output to a downstream action: 'Use a warehouse id here as the warehouseId for create_product,' which tells the agent when this tool is the right entry point. It lacks explicit when-not guidance or comparison to alternative lookups, but the context is clear.

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