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seo-tools-mcp

by antohins

xmlstock_wordstat

Частотность и топ запросов Яндекс Wordstat через XMLStock (ПЛАТНО за запрос, ~19₽/1K). Возвращает { totalCount, results: [{ phrase, count }] (топ по фразе), associations: [{ phrase, count }] (похожие) }.

Instructions

Частотность и топ запросов Яндекс Wordstat через XMLStock (ПЛАТНО за запрос, ~19₽/1K). Возвращает { totalCount, results: [{ phrase, count }] (топ по фразе), associations: [{ phrase, count }] (похожие) }. Операторы Wordstat в query: "…" (точная), ! (форма слова), + (стоп-слово), - (минус), [ ] (порядок), | (или).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYes
regionNoРегион: «Москва»/«спб»/213 — id/название Яндекса; без него — вся Россия
accountNoАккаунт-профиль (мультиаккаунт, см. *_auth_status); пусто = основной
Behavior4/5

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

No annotations are provided, so the description must carry the full burden. It discloses the pay-per-request cost, return format, and supported operators, which are critical behavioral traits. However, it omits details like rate limits, authentication requirements, and error handling.

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

Conciseness5/5

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

The description is a single, well-structured paragraph that efficiently conveys the tool's purpose, cost, return structure, and query syntax. No unnecessary words.

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

Completeness4/5

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

Given the tool's complexity (3 parameters, no output schema, no annotations), the description covers inputs, outputs, and cost adequately. It could be enhanced with error scenarios or region ID format examples, but is largely complete.

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

Parameters4/5

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

Schema coverage is 67% (2 of 3 parameters have descriptions). The description compensates for the missing query parameter description by explaining the operators in detail, adding significant meaning beyond the schema.

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

Purpose5/5

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

The description clearly states the tool retrieves Yandex Wordstat frequency and top queries, with specific return structure and operators. It distinguishes itself from siblings like xmlstock_wordstat_dynamics and xmlstock_wordstat_regions.

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

Usage Guidelines3/5

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

The description does not explicitly state when to use this tool versus alternatives. The usage context is implied by the tool's purpose, but no comparisons or exclusion criteria are provided.

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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