List products the snapshot can answer for

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered. The trailing 'Read-only.' merely restates the annotation, and the listed return fields duplicate the output schema, so the description adds little behavioral context beyond what structured fields provide.

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: the first states what is listed and what each entry contains, the second states when to use it. Nothing is wasted and the purpose is front-loaded.

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 read-only list of one optional filter parameter, the definition covers purpose, contents, and usage adequately, and an output schema exists so return structure need not be explained. Only pagination or result-size behavior is unaddressed, a minor 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?

There is a single optional parameter, min_orders, whose schema description ('Only list products with at least this many orders') is complete at 100% coverage. The description does not reference this filter at all, so it adds no meaning beyond the schema; 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 uses a specific verb+resource ('List the product codes present in the loaded snapshot') and even specifies the returned fields (order counts, price/cost availability). It implicitly routes the agent away from the measuring sibling by framing itself as the step 'before measuring', so an agent can distinguish it from measure_sku_funnel.

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?

It gives clear context cues: 'Use to resolve a product code before measuring, or to see what the dataset covers.' That covers the two main situations for calling it. It does not name a specific alternative sibling or state when not to use it, keeping it short of a 5.

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