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Yandex Metrica MCP

Raw Yandex Metrica API call

raw_request
Destructive

Send raw HTTP requests to any Yandex Metrica API path, including management and stat endpoints, with custom query parameters and JSON body. Use for endpoints without a dedicated tool.

Instructions

Escape hatch to call any Yandex Metrica API path directly — e.g. "management/v1/counters", "management/v1/counter/{id}/goals", "stat/v1/data". Use it for endpoints without a dedicated tool. query becomes the query string; body is sent as JSON for POST. GET runs freely; POST and DELETE are writes and require confirmWrite=true.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNoJSON body for POST requests.
pathYesAPI path, e.g. "stat/v1/data" or "management/v1/counter/12345/goals".
queryNoQuery string parameters (ids, metrics, dimensions, date1, date2, ...).
methodNoHTTP method. Default GET.
confirmWriteNoMust be true for a write (POST or DELETE).
Behavior5/5

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

Annotations already indicate destructive and non-read-only behavior, but the description adds crucial context: GET is safe, POST/DELETE are writes requiring confirmWrite, and explains how body and query are used. No contradictions.

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?

The description is concise (4 sentences), front-loaded with purpose and examples, and every sentence provides essential information without redundancy.

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 the tool's complexity (5 parameters, nested objects, no output schema), the description covers how to construct requests, method restrictions, and write confirmations. No gaps evident for correct invocation.

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

Parameters5/5

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

Schema coverage is 100%, but the description enriches each parameter: path with examples, query as typical parameters, body as JSON, method default and enum, confirmWrite mandate. This adds significant value beyond the schema.

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 it as an 'escape hatch' to call any Yandex Metrica API path directly, provides concrete path examples, and explicitly distinguishes itself from sibling tools by targeting endpoints without dedicated tools.

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

Usage Guidelines4/5

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

It specifies when to use (for endpoints without a dedicated tool) and gives important usage details (GET runs freely, POST/DELETE require confirmWrite=true). However, it does not explicitly mention when not to use it or list 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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