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skiddgoddamn

yandex-marketing-mcp

by skiddgoddamn

yd_metrika_report

Retrieve Yandex Metrika analytics reports as tables with custom metrics, dimensions, and filters for specified date ranges.

Instructions

Get a Metrika report (table).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
counter_idYesCounter ID
metricsYesMetrics, e.g. ym:s:visits, ym:s:pageviews, ym:s:bounceRate
dimensionsNoDimensions, e.g. ym:s:date, ym:s:searchEngine
date1NoStart date YYYY-MM-DD (default: 30 days ago)
date2NoEnd date YYYY-MM-DD (default: today)
filtersNoFilter expression
sortNoSort fields
limitNoMax rows (default 100)
Behavior2/5

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

No annotations are provided, so the description bears full responsibility. It only states the action without disclosing side effects, permissions, rate limits, or output behavior. For a data retrieval tool, this is minimal but safe; however, it lacks detail on return format, pagination, or data limits.

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

Conciseness3/5

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

The description is concise with one sentence, but it sacrifices informative content. It could include distinctions from siblings or behavioral hints without losing brevity.

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?

Given the complexity (8 parameters, many siblings) and lack of output schema, the description is too terse. It fails to explain the return format, default behaviors, or how this report differs from alternatives, leaving gaps for an AI agent.

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?

The input schema covers 100% of parameters with clear descriptions. The tool description adds no additional meaning beyond what the schema already provides, so the baseline score of 3 is appropriate.

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

Purpose3/5

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

The description 'Get a Metrika report (table)' clearly indicates the action and resource, but it does not differentiate from sibling tools like yd_metrika_report_by_time, yd_metrika_report_comparison, and yd_metrika_report_drilldown, which are also report generators. The word 'table' implies a data return format but lacks specificity.

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?

The description provides no guidance on when to use this tool versus alternatives. It does not mention when to use yd_metrika_report vs yd_metrika_report_by_time or other report variants, nor does it specify prerequisites or context.

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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