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

Annotations already cover the safety profile (readOnly, openWorld, non-destructive), and the description adds genuinely useful behavior beyond them: the result set may be large and should be narrowed, and the as-of date defaults to today. It stops short of describing pagination or ordering, which matters for a call flagged as potentially large.

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?

Three compact sentences with the scope front-loaded, then the size warning, then the endpoint path. Nothing is redundant and no sentence needs re-reading.

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?

With no output schema, the description never indicates what a stock record contains (quantity, warehouse breakdown, product fields), so an agent cannot anticipate the response shape. For a tool explicitly flagged as possibly large, the absence of any volume/pagination expectation is a notable gap.

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 coverage is only 33% – only date_to is documented in the schema – so the description carries the burden for warehouse_id and product_category_id, and it does name both meanings. However it leaves ambiguity about whether the two filters can be combined ("one warehouse or one product category") and gives no hint that these are internal IDs sourced from laudus_list_warehouses / laudus_list_product_categories.

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 the verb and resource precisely ("Stock of every product") plus the two scoping dimensions and an optional as-of date. The scope word "every" implicitly separates it from the sibling laudus_get_product_stock, but it never names that sibling explicitly.

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?

"Can be large: filter by warehouse or category" is real guidance on how to keep the call tractable, which implies the intended usage pattern. It does not say when to prefer this over laudus_get_product_stock or how to obtain warehouse/category IDs, so selection between siblings is left to inference.

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