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matious89pl

umami-analytics-mcp

by matious89pl

Get pageviews time series

get_pageviews
Read-only

Retrieve pageviews and sessions over time for a Umami website, bucketed by minute, hour, day, month, or year. Filter by date range, URL, referrer, device, location, and more.

Instructions

Pageviews and sessions over time, bucketed by unit. Returns { pageviews: [{x,y}], sessions: [{x,y}] } where x is the bucket timestamp and y the count.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
osNo
tagNo
urlNo
cityNo
hostNo
unitNoBucket size (default day).
endAtNoExplicit end — ISO 8601, YYYY-MM-DD, or epoch milliseconds. Defaults to now.
eventNo
queryNo
rangeNoRelative window: "24h", "7d", "30d", "12w", "today", "yesterday", "this-week", "last-month", "this-year". Ignored when startAt/endAt are set. Default "7d".
titleNo
deviceNo
regionNo
browserNo
countryNo
startAtNoExplicit start — ISO 8601, YYYY-MM-DD, or epoch milliseconds. Overrides range.
languageNo
referrerNo
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
endAtYes
startAtYes
sessionsYes
pageviewsYes
websiteIdYes
Behavior3/5

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

Annotations already indicate read-only (readOnlyHint=true). Description adds the return structure (arrays of x,y objects), but does not disclose pagination, rate limits, or authentication requirements beyond the 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?

Two sentences with no redundancy. Immediately states the resource and output format, making it easy to parse.

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?

With 20 parameters and low schema coverage, the description should explain key filter parameters. It does not, making the tool less usable for agents without additional context.

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

Parameters1/5

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

Schema description coverage is 30%, but the description only mentions the 'unit' parameter. The other 19 parameters (os, tag, url, etc.) are not explained, leaving an agent to guess their purpose.

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 the tool returns a time series of pageviews and sessions bucketed by unit, with the exact return format. This distinguishes it from sibling tools like get_stats or get_realtime.

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

Usage Guidelines2/5

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

No guidance on when to use this tool vs alternatives like get_metrics, get_stats, or get_realtime. The description does not mention prerequisites or context.

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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