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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description contributes the scoping fact that results come from the Nexscope database rather than live Ozon, plus the returned field set; it adds nothing on result limits, pagination, or empty-result behavior for an open-world search.

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 trigger list is keyword-stuffed and self-repeating ('Ozon product search, Nexscope Ozon' and 'Ozon keyword search' each appear twice), pushing the actual when-to-use information behind duplicated phrases. Front-loading of the core capability is good, but the bulk is waste.

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 usefully enumerates the return fields (product ID, title, brand, seller), and the schema covers date defaults and the keyword/SKU inputs. What is missing is any statement of result volume or whether multiple matches are returned, which matters for a search entry point.

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 (keyword, productIds, startDate, endDate) are already documented in the schema. The description only echoes 'by keyword or SKU' and does not explain the either/or exclusivity or how the date range interacts with a SKU lookup, 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?

States a specific verb and resource: searches Ozon Russia products in the Nexscope database by Russian keyword or SKU, and names the returned fields (product ID, title, brand, seller). It does not, however, distinguish itself from the many Ozon siblings (nexscope_ozon_product_detail_search, nexscope_data_mp_ozon_product_search, nexscope_data_sr_ozon_keyword_back_search), leaving the agent to guess which Ozon entry point applies.

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?

Frames the tool as the 'entry point for Ozon product discovery and competitor analysis chains' and lists trigger intents (Ozon product selection, keyword search, SKU lookup, Russian marketplace), which is useful context. But there is no when-not guidance and no named alternative for the adjacent Ozon detail/keyword tools, so selection against siblings is still inferred rather than directed.

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