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getsentry

plausible-mcp

by getsentry

Get Timeseries

get_timeseries
Read-onlyIdempotent

Retrieve traffic and conversion metrics over time to spot trends and measure the impact of changes on your site. Filter by page or goal for targeted analysis.

Instructions

Get traffic and conversion metrics over time for a site or specific page. Use to spot trends and changes around deploys.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
goalNoFilter by goal name (e.g. Signup, Purchase)
pageNoFilter by page path. Exact match by default, use * as trailing wildcard (e.g. /blog*)
metricsNoMetrics to return. Defaults vary by tool.
site_idNoPlausible site domain (e.g. example.com). Uses PLAUSIBLE_DEFAULT_SITE_ID if omitted.
date_rangeYesDate range: "7d", "30d", "12mo", "month", "year", "all", or "YYYY-MM-DD,YYYY-MM-DD"
granularityNoTime bucket sizeday

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
metricsYesMetric keys, in the order they appear in each row's `metrics` array
resultsYesOne row per dimension-value combination returned by Plausible
dimensionsYesDimension keys, in the order they appear in each row's `dimensions` array
Behavior2/5

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

Annotations already indicate readOnlyHint, openWorldHint, and idempotentHint, so the safety profile is covered. However, the description adds no additional behavioral context (e.g., no mention of rate limits, data freshness, or any side effects). The 'spot trends' usage hint is minimal.

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?

The description is extremely concise: two sentences that first state the function and then provide a usage context. Every word earns its place, and the key information is front-loaded.

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 complexity (6 parameters, output schema exists, annotations present), the description is minimally adequate. It conveys the core purpose and usage hint but does not explain the time-series nature, granularity options, or how to interpret results beyond what the schema provides. An agent could use it correctly but may need to infer some details.

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%, so each parameter already has a description in the schema. The tool description does not add significant meaning beyond what the schema provides. It aligns with page and site_id but does not elaborate on advanced usage or examples.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves traffic and conversion metrics over time for a site or specific page, with a use case for spotting trends around deploys. While it distinguishes itself from sibling tools (compare_periods, get_breakdown, get_conversions) by focusing on time-series data, it does not explicitly contrast with them.

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?

The description provides a specific use case ('spot trends and changes around deploys') but lacks explicit guidance on when not to use this tool or alternatives. Given the sibling tools, more direction on choosing between them would improve clarity.

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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