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

With no annotations, the description carries the full burden; it usefully discloses the shape of each returned row (id, type, main-image flag, storefront link), which substitutes for the missing output schema. It says nothing about auth/permission requirements, rate limits, or how the API cap on limit behaves beyond the schema text.

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?

Two tight sentences with no filler; the primary purpose is front-loaded before the return-shape detail. Every clause earns its place.

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 parameterless-required read tool with no output schema, the description supplies the missing return-value information and confirms the filter scope, which is enough for correct invocation. It could go further by positioning itself against autowhisper_products_summary, but nothing critical is absent.

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?

Schema description coverage is 100%, so all four parameters (limit, workspace_id, include_archived, token) are already fully documented in the schema, including the important current-workspace default and token precedence. The description only alludes to workspace/archive filtering, adding no syntax or format detail beyond the schema, so baseline 3 applies.

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+resource (list products) and its scope (optional workspace/archive filters), which is clear. It does not, however, differentiate itself from the sibling autowhisper_products_summary, so an agent must infer the distinction from the name alone.

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?

There is no explicit when-to-use or when-not-to-use guidance, and the obvious alternative (autowhisper_products_summary) is never named or contrasted. 'Fast product list' hints at a lightweight enumeration use case but leaves routing to inference.

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