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Mzaxd

Umami MCP Server

by Mzaxd

Get Umami Events Series

umami_get_events_series
Read-only

Retrieve custom event counts for a website over time, returning event name, timestamp, and count per time bucket. Filter by attributes like path, referrer, browser, or country to analyze specific segments.

Instructions

Get custom event counts for a website over time. Returns event name, timestamp, and count rows.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
websiteIdYesUmami website ID. Use umami_list_websites or umami_find_website first if you do not know it.
startAtYesAn ISO 8601 datetime string or a millisecond timestamp. Example: 2026-04-23T00:00:00+08:00 or 1776873600000.
endAtYesAn ISO 8601 datetime string or a millisecond timestamp. Example: 2026-04-23T00:00:00+08:00 or 1776873600000.
unitYesTime bucket unit. Allowed values: hour, day, month, year.
timezoneNoIANA timezone, for example Asia/Shanghai. Defaults to UMAMI_DEFAULT_TIMEZONE when omitted.
filtersNoOptional filter object shared by Umami analytics endpoints.
Behavior3/5

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

Annotations already indicate readOnlyHint=true, so the safety profile is clear. The description adds that it returns rows with event name, timestamp, and count, but does not disclose any additional behavioral traits beyond what annotations provide.

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 two concise sentences with no wasted words. It is efficiently structured, though it could benefit from slightly more detail on output structure.

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

Completeness3/5

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

Given the absence of an output schema, the description partially explains the return values (event name, timestamp, count rows) but lacks detail on the exact data structure (e.g., whether it's an array, how fields are named). For a tool with moderate complexity, this is somewhat incomplete.

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% with detailed parameter descriptions (e.g., websiteId referencing other tools, startAt/endAt examples, unit enum). The description adds minimal extra semantic information, so it is adequate but not exceptional.

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 it gets custom event counts over time for a website, with a specific resource (custom events) that distinguishes it from sibling tools like umami_get_pageviews (pageviews) and umami_get_breakdown (breakdown data).

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 versus alternatives like umami_get_pageviews or umami_get_stats. The description only explains what it does without contextualizing when it is the best choice.

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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