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Nexscope Ecommerce Data MCP

Ozon Intelligence SR: ozon/keyword Mining API

nexscope_data_sr_ozon_keyword_mining

Ozon Intelligence SR: ozon/keyword Mining API.

Input Schema

NameRequiredDescriptionDefault
caNoAdd-on conversion rate range.
uIdNoUser ID.
pageYesPaging and sorting: `{page, pageSize, orders[]}`.
priceNoPrice range.
keywordYesSeed keyword, maximum length 1000.
sellersNoNumber of sellers range.
memberIdNoMember ID; the data is attributed to this member.
productsNoProduct number range.
matchTypeNoKeyword matching mode: `0` precise, `1` fuzzy.
relevancyNoRelevance range to seed words.
wordCountNoKeyword word range.
marketSpaceNoMarket space scope.
adRivalCountNoThe range of the number of advertising competing products.
productViewsNoProduct view range.
searchVolumeNoSearch popularity range.
titleDensityNoTitle density range.
searchChange30No30-day search range.
uniqQueriesWCaNoThe range of additional purchases.
excludeKeywordsNoArray of excluded keywords, up to 1000.
includeKeywordsNoContains an array of keywords, up to 1000.
conversionSharingNoConversion concentration range.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

D1.7/5.0
Behavior1/5

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

The description discloses nothing beyond the title: no mention of what data is returned, whether a seed keyword is required, cost/credit implications, or rate limits. This matters especially because annotations declare readOnlyHint=false and openWorldHint=true, so the agent cannot tell whether this is a safe read or a billable/side-effecting query. Nothing in the description fills that gap.

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 waste, but that brevity reflects under-specification rather than disciplined concision. There is no front-loaded verb, scope, or routing information to orient the agent.

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 21-parameter tool with nested objects, no output schema, and only thin annotations, the description leaves an agent unable to determine inputs meaningfully, expected output shape, or usage context. It is effectively a label rather than a definition.

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%, so the 21 parameters (including nested range objects, pagination, matchType, and include/exclude keyword arrays) are already documented in structured form. The description adds no parameter semantics of its own, which is acceptable only because the schema carries the full burden — baseline 3.

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 is a restatement of the tool name and title: 'Ozon Intelligence SR: ozon/keyword Mining API.' It implies keyword mining for the Ozon marketplace, but supplies no specific verb+resource framing beyond the identifier and does nothing to distinguish it from closely named siblings such as nexscope_ozon_market_keyword_search or nexscope_ozon_keyword_back_search.

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 statement of when to use this tool, when not to, or which sibling to prefer. With three other Ozon keyword-oriented tools in the namespace, an agent has no basis for choosing among them from this text.

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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