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Yandex Metrika MCP

Yandex Metrika MCP

by DevCrabs-Inc

Yandex Metrika: get job

metrika_get_job
Read-onlyIdempotent

Retrieves the state, progress, errors, and result files of a Yandex Metrika export job so you can track long-running report exports and download completed data.

Instructions

Shows the state, progress, errors and result files of a Yandex Metrika export job.

Input Schema

NameRequiredDescriptionDefault
job_idYesJob ID from metrika_export_report.
connection_idYesConnection ID from metrika_status (e.g. conn_demo).

Output Schema

NameRequiredDescriptionDefault
kindYes
errorYes
queryYes
stageYes
stateYes
formatYes
job_idYes
progressYes
warningsYes
artifactsYes
created_atYes
updated_atYes
finished_atYes
next_actionYes
connection_idYes
schema_versionYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

A3.6/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, and destructiveHint=false, so the safety profile is covered. The description adds that job errors and result files are surfaced, which is useful behavioral context, but says nothing about polling cadence, terminal states, or how failures are reported.

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?

A single sentence, front-loaded with the verb and resource, with the returned fields listed in a compact clause. No filler, no repetition of the title.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

An output schema exists, so return values need not be spelled out, and the two required params are fully documented in the schema. What's missing is only workflow context — that this is the polling companion to metrika_export_report and what to do on failure.

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?

Schema description coverage is 100% and both required parameters carry their own descriptions, including the ID pattern and where each value originates. The description adds no parameter-level meaning beyond that, so the baseline of 3 applies.

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 pairs a specific verb ("shows") with a specific resource (a Yandex Metrika export job) and enumerates what is returned: state, progress, errors, and result files. That makes it clearly distinct from job-creating or job-cancelling siblings, though it never names those siblings explicitly.

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 only implied: the description reads as a polling/inspection tool for a job created elsewhere, and the schema note ("Job ID from metrika_export_report") supplies the workflow link. Nothing states when to prefer this over metrika_cancel_job or metrika_read_artifact, and no conditions or exclusions are given.

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