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theYahia

Yandex Metrika MCP

by theYahia

get_report

Query Yandex.Metrica data with custom metrics, dimensions, filters, and sorting for flexible analytics reporting.

Instructions

Flexible Yandex.Metrica reporting endpoint. Query any combination of metrics (ym:s:visits, ym:s:pageviews, ym:s:bounceRate, ym:s:avgVisitDurationSeconds, ym:s:users, ym:s:newUsers, etc.) with dimensions (ym:s:trafficSource, ym:s:searchEngine, ym:s:country, ym:s:browser, ym:s:deviceCategory, ym:s:date, etc.) over a date range. Supports filters and sorting.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoSort field, prefix with '-' for descending, e.g. '-ym:s:visits'
date1YesStart date YYYY-MM-DD
date2YesEnd date YYYY-MM-DD
limitNoMax rows to return (default 100)
filtersNoFilter expression, e.g. ym:s:trafficSource=='organic'
metricsYesMetrics array, e.g. ['ym:s:visits', 'ym:s:pageviews', 'ym:s:bounceRate', 'ym:s:avgVisitDurationSeconds']
counter_idYesYandex.Metrica counter ID
dimensionsNoDimensions array, e.g. ['ym:s:trafficSource', 'ym:s:browser', 'ym:s:country', 'ym:s:deviceCategory']
Behavior2/5

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

No annotations provided, so the description must disclose behavioral traits. It does not mention that the tool is read-only, any rate limits, authentication requirements, or pagination details beyond a default limit. The description lacks key behavioral context.

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 sentences: first sentence defines the tool's purpose, second provides examples of metrics, dimensions, filters, and sorting. Every sentence is necessary and well-structured.

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?

While the description covers purpose and parameters, it does not describe the output format or behavior. Since no output schema exists, the description should mention what the response looks like (e.g., a JSON array). Adequate but incomplete.

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 100%, but the description adds value by listing example metrics and dimensions, and mentioning filters and sorting. This provides practical context beyond the schema descriptions.

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?

The description clearly states it is a flexible reporting endpoint for Yandex.Metrica, listing specific metrics and dimensions. However, it does not differentiate from sibling tools like get_report_comparison or get_report_drilldown.

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 alternatives. Given multiple sibling report tools, the description should indicate scenarios where this flexible endpoint is preferred over more specific ones.

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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