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Yandex Wordstat MCP

Demand dynamics over time

dynamics
Read-only

Get time series data showing how demand for a search phrase changes over time, including count and share of Yandex searches. Specify daily, weekly, or monthly periods to analyze seasonality and trends.

Instructions

Returns how demand for a phrase changed over time — a series of {date, count, share}, where share is the fraction of all Yandex searches. Use it for seasonality and trend. period sets the granularity (daily/weekly/monthly). fromDate/toDate bound the range as RFC3339 timestamps, and toDate must align to the period boundary.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
periodNoGranularity of the series. Default monthly.
phraseYesThe search phrase to research.
toDateNoRange end (RFC3339), aligned to the period boundary.
devicesNoDevice filter: any of all, desktop, phone, tablet. Omit for all devices.
fromDateNoRange start (RFC3339), e.g. 2026-01-01T00:00:00Z.
regionIdsNoRegion ids to scope demand to, e.g. [213] (Moscow), [2] (St. Petersburg). Get ids from list_regions. Omit for all regions.
Behavior5/5

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

Adds rich behavioral context: output format, share definition, period granularity, date format, and alignment requirement. No contradiction with readOnlyHint and openWorldHint.

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?

Single sentence for purpose, followed by parameter details. No fluff, front-loaded with key info.

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

Completeness5/5

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

No output schema, but description fully specifies output as {date, count, share} and explains share. All parameters and constraints covered.

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

Parameters5/5

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

Despite 100% schema coverage, description adds meaning beyond schema (e.g., share is fraction of Yandex searches, alignment requirement for toDate). All 6 parameters are explained with additional context.

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 it returns demand dynamics over time with output shape {date, count, share}. It differentiates from sibling tools like list_regions and regions by focusing on time series analysis.

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

Usage Guidelines4/5

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

Explicitly says to use for seasonality and trend. Provides constraints like toDate alignment but does not mention when not to use or list alternatives.

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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