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Crash-SV

Yandex Webmaster MCP Server

by Crash-SV

Get Query History

get_query_history

Retrieve aggregated Yandex Webmaster search query statistics over time, including daily shows, clicks, and average positions for a specified host.

Instructions

Get aggregated search query statistics (all queries) over time — shows, clicks, positions by day.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
date_toYesEnd date (YYYY-MM-DD)
host_idYesHost ID (format: https:example.com:443)
user_idYesYandex Webmaster user ID
date_fromYesStart date (YYYY-MM-DD)
query_indicatorNoComma-separated: TOTAL_SHOWS,TOTAL_CLICKS,AVG_SHOW_POSITION,AVG_CLICK_POSITION
device_type_indicatorNoALL, DESKTOP, MOBILE, PHONE, TABLET

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations exist, so the description carries the full disclosure burden. It doesn't mention authentication requirements, Yandex Webmaster ownership constraints, rate limits, or whether results are cached. Only the read-only nature is implied by 'get'.

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

Conciseness4/5

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

A single compact sentence that front-loads the tool's purpose and return dimensions. It is efficient but the parenthetical '(all queries)' could be clearer.

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

Completeness3/5

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

An output schema exists, so return values need not be explained. However, the description is thin for a parameter-rich analytics tool with no annotations and no usage guidance, leaving key operational context to the schema and annotations (which are absent).

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 baseline is 3. The description doesn't add syntax or explain how query_indicator or device_type_indicator affect aggregation granularity beyond what the schema already documents.

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

Purpose4/5

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

States a specific verb (get) and resource (aggregated search query statistics) with the returned dimensions (shows, clicks, positions by day). It clearly differs from siblings like get_popular_queries and get_single_query_history by emphasizing aggregated statistics, though it doesn't explicitly name the alternatives.

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 explicit when-to-use or when-not-to-use guidance is provided. The phrase 'all queries' hints at scope but doesn't direct the agent to get_single_query_history or get_popular_queries for narrower use cases.

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