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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description adds genuine value beyond that by describing what each returned keyword carries (volume, growth, competitor/seller counts, cart-add conversion, top products, market profile) in the absence of an output schema. Pagination/rate-limit behavior and data-freshness caveats are still 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 capability sentence is well front-loaded, but the trigger list is bloated with near-identical paraphrases ('Ozon hot keywords', 'Ozon keyword research', 'Ozon market keyword search', 'Nexscope Ozon') that repeat the title and strain the ten-percent weight. Roughly a third of the text is redundant keyword stuffing rather than information.

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 24-parameter read tool with no output schema, the description covers what the tool returns and what purposes it serves, which is the material an agent needs. The heavy lifting on filters and pagination is handled by a fully described schema, so the remaining gap is mainly sibling disambiguation and result-size limits.

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% and every one of the 24 parameters carries its own description including range shapes {min,max} and the searchDate semantics. The description names the metric dimensions but adds no syntax, defaults, or constraint 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?

States a clear verb+resource (search Ozon market keywords) and lists the filterable metrics and per-keyword fields, which is far more specific than a tautology. It does not differentiate from near-duplicate siblings such as nexscope_ozon_keyword_mining or nexscope_data_sr_ozon_market_keyword_search, so an agent cannot tell which of these to pick from the description 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?

Explicitly names use cases (keyword selection, blue-ocean keyword mining, market opportunity analysis) and enumerates trigger intents, including the case where the user does not mention Nexscope. It gives no exclusions or named alternatives, so the routing against other Ozon keyword tools remains ambiguous.

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