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Ozon Intelligence MP: ozon/product Trend API

nexscope_data_mp_ozon_product_trend
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Ozon Intelligence MP: ozon/product Trend API.

Input Schema

NameRequiredDescriptionDefault
endDateNoStatistics end date, `YYYY-MM-DD`; data delay T-1, the latest available is yesterday
productIdYesOzon product SKU
startDateNoStatistics starting date, `YYYY-MM-DD`; data delay T-1, the latest day can be selected
includeFbsNoWhether to include FBS data
includeSearchStatsNoWhether it comes with search position/visibility; some tracks do not support it

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and openWorldHint=true, so the safety profile is covered. The description adds nothing on top of that — no note on the T-1 data delay, the time-series granularity returned, or which metrics the trend series covers, all of which are essential behavioral context for a trend endpoint.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness2/5

Is the description appropriately sized, front-loaded, and free of redundancy?

It is one short sentence with no filler, but here the brevity is under-specification rather than economy — the single sentence is pure branding plus a repeated identifier and carries no actionable content.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness1/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a five-parameter time-series analytics tool with no output schema, the description supplies zero information about the return shape, date-range semantics, or metric coverage. An agent cannot tell what the trend series will contain or when the endpoint is the right choice.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100% and each of the five parameters is documented in the schema (including the T-1 delay note on both dates and the caveat that includeSearchStats is unsupported for some tracks). Per the high-coverage baseline this lands at 3, though the description contributes nothing of its own.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose2/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description restates the tool name and title ('Ozon Intelligence MP: ozon/product Trend API') with no verb, no explanation of what a 'trend' response contains, and no differentiation from the many sibling Ozon tools (product_detail, product_search, product_report_search, keyword_back_search). An agent learns nothing about the resource beyond what the identifier already encodes.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines1/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no when-to-use guidance, no mention of prerequisites, and no indication of how this differs from nexscope_ozon_product_detail or nexscope_ozon_product_report_search. The agent must guess based on the name alone.

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

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