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artgas1

xmlriver-mcp

by artgas1

yandex_search_api_v2

Read-onlyIdempotent

Query Yandex Search API v2 via XMLRiver proxy for cleaner structured output. Returns parsed search results without SERP features, using official API semantics.

Instructions

Query Yandex Search API v2 (official) via XMLRiver proxy.

Use this when you need: cleaner structured output, no SERP-feature parsing overhead, documented Yandex Search API semantics. Slightly more expensive than yandex_search (~24 ₽/1k vs 25 ₽/1k on Basic tariff).

Do NOT use for: SERP features (knowledge graph, FAQ, related questions) — those are not in the official API. Use yandex_search instead.

Returns: Parsed search results dict similar to yandex_search but without addresults.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
queryYesSearch query.
regionNoYandex region ID (lr). Default 213 (Moscow).
pageNoPage number (0-based). Default 0.
group_countNoResults per page (Yandex Search API). Default 10.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate read-only, idempotent, non-destructive. Description adds cost comparison and return format details, which are useful but not critical behavioral disclosures.

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?

Concise, front-loaded, no wasted words. Structured with clear sections for usage and limitations.

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?

Given output schema exists and annotations are rich, description covers purpose, usage guidelines, and return format sufficiently. All critical information is present.

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?

Input schema covers all 4 parameters with descriptions. Description does not add additional parameter-level meaning beyond schema, so baseline 3 applies.

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 queries Yandex Search API v2 via XMLRiver proxy, and distinguishes it from sibling yandex_search by noting cleaner structured output and lack of SERP features.

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

Usage Guidelines5/5

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

Explicitly says when to use (cleaner output, no SERP parsing) and when not to use (SERP features, directing to yandex_search). Provides clear 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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