rybbit-mcp

Event Time Series

rybbit_get_event_timeseries

Read-onlyIdempotent

Retrieve custom event counts as time-series data with configurable buckets to analyze trends over time.

Instructions

Get custom event counts as time-series data with configurable buckets. Useful for analyzing event trends over time.

Input Schema

TableJSON Schema

Name	Required	Description
`bucket`	No	Time bucket granularity (default: day). Use 'hour' for last 24h, 'week'/'month' for long ranges
`siteId`	Yes	Site ID (numeric ID or domain identifier)
`endDate`	No	End date in ISO format (YYYY-MM-DD)
`filters`	No	Array of filters. Example: [{parameter:'browser',type:'equals',value:['Chrome']},{parameter:'country',type:'equals',value:['US','DE']}]
`timeZone`	No	IANA timezone (e.g., Europe/Prague). Default: UTC
`startDate`	No	Start date in ISO format (YYYY-MM-DD)
`pastMinutesEnd`	No	Alternative to dates: minutes ago end (default 0 = now)
`pastMinutesStart`	No	Alternative to dates: minutes ago start (e.g., 60 = last hour)

Output Schema

TableJSON Schema

Name	Required	Description	Default
`data`	No

Schema Changelog

Changes observed during successful MCP inspections.

Changed2 schema fields changedv0.8.1Sep 28, 2026

changedInput schema / properties / filters / items / properties / parameter / description

Previous value: -"Filter dimension. One of: browser, browser_version, operating_system, operating_system_version, language, country, region, city, device_type, device_model, app_version, dimensions, referrer, hostname, pathname, page_title, querystring, event_name, channel, utm_source, utm_medium, utm_campaign, utm_term, utm_content, entry_page, exit_page, user_id, lat, lon, timezone, vpn, crawler, datacenter, company, company_type, company_domain, asn_org, asn_type, asn_domain, tag. Custom URL parameters use the prefix 'url_param:NAME' (e.g., 'url_param:campaign_id'). Note: user_id filter checks BOTH the device hash (user_id) and app-provided ID (identified_user_id). device_model and app_version are populated only for app-type sites tracked via SDK."New value: +"Filter dimension. One of: browser, browser_version, operating_system, operating_system_version, language, country, region, city, device_type, device_model, app_version, dimensions, referrer, hostname, pathname, page_title, querystring, event_name, channel, utm_source, utm_medium, utm_campaign, utm_term, utm_content, entry_page, exit_page, user_id, lat, lon, timezone, tag. Custom URL parameters use the prefix 'url_param:NAME' (e.g., 'url_param:campaign_id'). Note: user_id filter checks BOTH the device hash (user_id) and app-provided ID (identified_user_id). device_model and app_version are populated only for mobile-type sites (legacy: app) tracked via SDK."

changedOutput schema / (root)

Previous value: -nullNew value: +{
+  "$schema": "http://json-schema.org/draft-07/schema#",
+  "additionalProperties": false,
+  "properties": {
+    "data": {
+      "items": {
+        "additionalProperties": true,
+        "properties": {
+          "count": {
+            "type": "number"
+          },
+          "time": {
+            "type": "string"
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "type": "object"
+}

Changed1 schema field changedv0.4.3Apr 30, 2026

changedInput schema / properties / filters / items / properties / parameter / description

Previous value: -"Filter dimension: browser, operating_system, language, country, region, city, device_type, referrer, hostname, pathname, page_title, querystring, event_name, channel, utm_source, utm_medium, utm_campaign, utm_term, utm_content, entry_page, exit_page, user_id. Note: user_id filter checks BOTH the device hash (user_id) and app-provided ID (identified_user_id)."New value: +"Filter dimension. One of: browser, browser_version, operating_system, operating_system_version, language, country, region, city, device_type, device_model, app_version, dimensions, referrer, hostname, pathname, page_title, querystring, event_name, channel, utm_source, utm_medium, utm_campaign, utm_term, utm_content, entry_page, exit_page, user_id, lat, lon, timezone, vpn, crawler, datacenter, company, company_type, company_domain, asn_org, asn_type, asn_domain, tag. Custom URL parameters use the prefix 'url_param:NAME' (e.g., 'url_param:campaign_id'). Note: user_id filter checks BOTH the device hash (user_id) and app-provided ID (identified_user_id). device_model and app_version are populated only for app-type sites tracked via SDK."

First observedv0.5.2Apr 2, 2026

TDQS

B3.4/5.0

Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is fully covered externally. The description adds only that buckets are configurable and that this is for trend analysis, with no mention of default time windows, pagination, or data volume concerns.

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?

Two short sentences with the core capability front-loaded and zero filler. It is efficient, though it could have used the second sentence for routing information rather than a restatement of the obvious analytics use case.

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?

An output schema exists, so return values need not be explained, and the rich schema covers parameters. However, for a tool with 8 parameters, a filter system, and several near-identical timeseries siblings, the description omits the selection guidance an agent needs to pick correctly.

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 every one of the 8 parameters is already documented (enums, filter dimensions, pastMinutes alternatives). The description adds no parameter-level detail beyond that, which is the expected baseline when the schema carries the full burden.

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?

States a specific verb and resource ('get custom event counts as time-series data') along with a scope qualifier ('configurable buckets'). This distinguishes it reasonably from siblings like rybbit_get_event_aggregate and rybbit_get_overview_timeseries, though it never names those siblings explicitly.

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?

Only 'Useful for analyzing event trends over time' is offered as context. That is implied usage rather than explicit when-to-use guidance, and there is no indication of when to prefer this over rybbit_get_event_aggregate or rybbit_get_overview_timeseries.

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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