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campfirein

@byterover/umami-mcp

by campfirein

pageviews_series

Get time series of pageviews and sessions for a website, bucketed by hour, day, month, or year over a custom date range.

Instructions

Time series of pageviews and sessions for a website over a date range, bucketed by unit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unitNoBucket size (default day).
endAtNoRange end, ISO date. Optional; defaults to now.
startAtNoRange start, ISO date. Optional; defaults to 7 days ago.
timezoneNoIANA timezone, e.g. America/New_York (default UTC).
websiteIdYesThe website id, from list_websites.
Behavior2/5

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

With no annotations, the description carries the full burden. It does not disclose any behavioral traits such as read-only nature, auth requirements, rate limits, pagination, or whether data is cumulative. It only states the output is a time series, which is insufficient for full transparency.

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 a single concise sentence with no wasted words. However, it is slightly too brief; adding a sentence about the output structure would improve without impacting conciseness significantly.

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?

Given the moderate complexity (5 parameters, no output schema, no annotations), the description is incomplete. It does not describe the format of the time series (e.g., list of objects with timestamp and metrics), ordering, or how data is aggregated. An agent cannot reliably parse the output without additional assumptions.

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%, so baseline is 3. The description adds little beyond the schema: it confirms that the unit parameter controls bucketing, but the schema already says 'Bucket size (default day).' No additional meaning is provided for other parameters.

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' for a website, specifying the key metrics and that it is bucketed by unit. This distinguishes it from siblings like events_series (which focuses on events) or funnel_report (which is about funnels).

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 such as events_series or metrics. There are no prerequisites, exclusions, or context about appropriate use cases, leaving the agent to guess.

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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