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matious89pl

umami-analytics-mcp

by matious89pl

Retention report

report_retention
Read-only

Track user retention by analyzing cohort data showing how many users return on subsequent days. Specify website, date range, and timezone for precise insights.

Instructions

Cohort retention over the selected period (how many users return on subsequent days).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
endAtNoExplicit end — ISO 8601, YYYY-MM-DD, or epoch milliseconds. Defaults to now.
rangeNoRelative window: "24h", "7d", "30d", "12w", "today", "yesterday", "this-week", "last-month", "this-year". Ignored when startAt/endAt are set. Default "7d".
startAtNoExplicit start — ISO 8601, YYYY-MM-DD, or epoch milliseconds. Overrides range.
timezoneNoIANA timezone for bucketing (e.g. America/New_York). Defaults to the server's configured tz.
websiteIdYesUmami website UUID (obtain from list_websites).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo
Behavior3/5

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

Annotations already declare readOnlyHint=true, so safety is clear. Description adds the concept of cohort retention but does not disclose additional behavioral traits like data aggregation or time boundaries beyond schema.

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?

Single sentence, front-loaded with key concept 'cohort retention over the selected period'. No unnecessary words; every word earns its place.

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?

Given the presence of an output schema (no need to describe returns), 5 required parameters with full schema coverage, and readOnly annotations, the description is complete enough. Could hint at output format but not required.

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 coverage is 100% with descriptions for all 5 parameters. Description adds no extra meaning to parameters beyond what the schema already provides, so 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 'cohort retention' and 'how many users return on subsequent days', specifying verb (report), resource (retention), and scope (cohort). Differentiates from siblings like report_funnel or report_journey.

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?

Description implies use for retention analysis but does not explicitly say when to use this tool vs alternatives like report_breakdown or report_goals. No exclusions or context are provided.

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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