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zaborlux

Yandex Semantic Core MCP

by zaborlux

Топ запросов Wordstat

wordstat_get_top_requests

Fetch popular and related Yandex Wordstat queries for a phrase from the last 30 days, with optional device and region filters. Identify high-demand search terms for semantic core research.

Instructions

Популярные и связанные запросы для фразы за последние 30 дней. Частоты возвращает Yandex Wordstat, сервер их не вычисляет.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
phraseYes
devicesNo
regionsNo
numPhrasesNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior3/5

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

With no annotations provided, the description carries the burden. It adds useful context: frequencies are supplied by Yandex Wordstat, not computed by the server, and the time window is explicitly 30 days. However, it omits any details about authentication, rate limits, or response format.

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?

Two concise sentences with the core purpose front-loaded. Every clause adds value, and there is no redundant or filler content.

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

Completeness2/5

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

The tool has four parameters and no output schema, yet the description only covers the general purpose and a single behavioral note. It fails to explain filter semantics (devices, regions) or the output shape, leaving significant gaps for correct invocation.

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

Parameters2/5

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

Schema description coverage is 0%, so the description must compensate. It only implies the 'phrase' parameter ('для фразы') and says nothing about 'devices', 'regions', or 'numPhrases'. This leaves most parameters semantically undocumented.

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 states the resource ('popular and related queries for a phrase') and a specific time window ('last 30 days'). It clearly differentiates from sibling tools like dynamics and regions, and the intent (retrieve top requests) is unambiguous.

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

Usage Guidelines2/5

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

No guidance on when to use this tool versus the sibling tools. It does not mention alternatives, exclusions, or prerequisites, leaving the agent to infer usage purely from the tool name and context.

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