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plausible-mcp

by getsentry

Get Breakdown

get_breakdown
Read-onlyIdempotent

Break down analytics metrics by dimension (page, source, country, etc.) to identify top pages, traffic sources, or segment your audience.

Instructions

Break down metrics by a dimension: page, traffic source, country, device, etc. Use to find top pages, sources, or segment traffic.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoFilter by page path. Exact match by default, use * as trailing wildcard (e.g. /blog*)
limitNoMax results to return
metricsNoMetrics to return. Defaults vary by tool.
site_idNoPlausible site domain (e.g. example.com). Uses PLAUSIBLE_DEFAULT_SITE_ID if omitted.
dimensionYesDimension to group results by
date_rangeYesDate range: "7d", "30d", "12mo", "month", "year", "all", or "YYYY-MM-DD,YYYY-MM-DD"

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricsYesMetric keys, in the order they appear in each row's `metrics` array
resultsYesOne row per dimension-value combination returned by Plausible
dimensionsYesDimension keys, in the order they appear in each row's `dimensions` array
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, so the bar is lower; description adds value by listing example dimensions and metrics, reinforcing the tool's safety and purpose.

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 efficient sentences front-load the purpose and usage, with zero wasted words.

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 full schema coverage, annotations, output schema, and sibling context, the description is complete for guiding correct tool selection and invocation.

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 has 100% coverage with good parameter descriptions. The tool description adds no further semantic detail beyond schema; thus baseline 3 is appropriate.

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?

Description clearly states that the tool breaks down metrics by a dimension like page, traffic source, country, etc., and explicitly distinguishes from sibling tools (compare_periods, get_conversions, get_timeseries) by focusing on dimension breakdowns.

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?

Provides clear usage context: 'Use to find top pages, sources, or segment traffic.' Does not explicitly state when not to use or name alternatives, but the sibling list and description together guide appropriate use.

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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