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mikusnuz

umami-mcp

get_event_series

Retrieve time-series event metrics for a website, with optional filters for URL path or event name, grouped by hour, day, week, month, or year.

Instructions

Get event metrics over time (event series data) for a website

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
websiteIdYesWebsite UUID
startAtYesStart timestamp in milliseconds
endAtYesEnd timestamp in milliseconds
unitYesTime grouping unit
timezoneNoTimezone (e.g. 'Asia/Seoul')
urlNoFilter by URL path
eventNameNoFilter by event name
Behavior1/5

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

With no annotations, the description must disclose behavioral traits. It only states the basic function without mentioning data range limits, permission requirements, or return format. This is insufficient for a time-series data tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Single sentence with no wasted words, but lacks necessary detail for completeness. Adequate conciseness but insufficient content.

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

Completeness1/5

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

No output schema or return description provided. The minimal description does not inform the agent about what the tool returns (e.g., time-series data points, structure). Given 7 parameters and no annotations, this is severely 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?

All 7 parameters have descriptions in the schema (100% coverage). The description adds no extra meaning beyond what the schema provides, so baseline 3 applies.

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 verb 'Get' and the resource 'event metrics over time (event series data)' for a website. It distinguishes this tool from sibling tools like 'get_events', 'get_event_data_stats', etc., which focus on other event data aspects.

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 is provided on when to use this tool versus alternatives (e.g., get_events, get_event_data_stats). The description lacks context for scenario selection.

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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