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

Annotations declare this is a non-readOnly, non-destructive, closed-world write, so the safety profile is partly covered. The description adds the non-obvious behavioral facts annotations cannot convey: the removal is persistent across every future study, it is reversible via undo, and it is free. Return/response behavior is left unstated.

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 core action and its scope are front-loaded in the first sentence, and the two short trailing sentences cover reversibility and cost. The long parenthetical of examples is dense but earns its place as selection criteria.

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 two-parameter mutation with no output schema, the description covers what is removed, the scope of the effect, how to identify the target, and how to reverse it, with annotations carrying the safety profile. Only the response shape is unspecified, which is minor here.

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 both parameters are already documented in the schema, including that domain accepts 'any URL on it'. The description's 'by its domain or a URL on it' and 'With undo, it can be studied again' restate the schema rather than extend it, so the 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 gives a specific verb and resource ('Remove a product... from this study's patterns and from every study after it') and even names the identifying handle (domain or URL on it). It is clearly the research-side skip tool and not confusable with research/research_run, though it never names a sibling to route against.

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 supplies concrete when-to-use criteria ('sells to other buyers, is far bigger, is not a product at all'), which is exactly the judgment call an agent needs to make the skip. It does not state when NOT to use it or name an alternative path (e.g. listing_skip for non-product entities).

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