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Rezlazy

yandex-metrika-mcp

by Rezlazy

mgmt_counter_create

Create a new Yandex Metrika counter by providing the website URL and counter name in the request body.

Instructions

https://yandex.ru/dev/metrika/ru/management/ Create counter. Body: {"counter": {"site": "example.com", "name": "..."}}

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
ytmNoYTM flag
bodyYesJSON request body. For POST/PUT use the structure from API docs (e.g. {"counter": {...}}).
fieldNoExtra fields in response
prettyNoPretty-print response (1)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

B3.2/5.0
Behavior2/5

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

There are no annotations, so the description carries the full burden of behavioral disclosure. It only says 'Create counter' and gives a body example; it does not explain what the API does on success, what happens if the counter already exists, whether authorization is required, or what response to expect.

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?

The description is short and to the point, with the action and core body example included. The leading documentation URL is somewhat boilerplate but still useful for reference and does not bloat the description.

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?

For a mutation tool with no annotations and no output schema, the description is thin. It lacks the full endpoint path, required authentication context, response behavior, and any guidance on validation or constraints, leaving the agent to rely on the external docs link.

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 schema's body property is very generic. The description adds meaningful value by providing a concrete body example with 'site' and 'name' fields, helping the agent construct a valid request beyond what the schema describes.

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 states a clear verb and resource ('Create counter') and even shows the expected body shape. It does not explicitly distinguish itself from mgmt_counter_update or mgmt_counter_delete, but the verb and sibling naming make the purpose unambiguous.

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

Usage Guidelines3/5

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

Usage is implied by the name and description: use when creating a counter rather than listing, updating, deleting, or undeleting one. However, there is no explicit statement of when to choose this tool over alternatives or any prerequisites needed before creation.

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