rybbit-mcp

Overview Time Series

rybbit_get_overview_timeseries

Read-onlyIdempotent

Retrieve overview metrics as time-series data with configurable buckets (minute to month) to chart trends and analyze performance over time.

Instructions

Get overview metrics as time-series data with configurable time buckets (minute, hour, day, week, month). Returns arrays of data points for charting trends.

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`	Yes	Time-bucketed overview metrics

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": {
+      "description": "Time-bucketed overview metrics",
+      "items": {
+        "additionalProperties": true,
+        "properties": {
+          "time": {
+            "type": "string"
+          }
+        },
+        "type": "object"
+      },
+      "type": "array"
+    }
+  },
+  "required": [
+    "data"
+  ],
+  "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, idempotentHint, non-destructive, and closed-world behavior. The description adds only that output is arrays of data points for charting, which is partly redundant with the output schema. No other behavioral traits such as auth, rate limits, or data retention are mentioned.

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?

Two sentences, front-loaded with the core action and resource, and no wasted words. The return-shape note is brief and earns its place.

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

Completeness4/5

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

Given the 100% schema coverage, rich parameter descriptions, and an output schema, the description covers the essential purpose and bucket configurability. It does not explain filter/date/past-minute usage, but the schema compensates. Minor gaps remain around sibling selection.

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 the schema already documents all eight parameters in detail. The description mentions configurable buckets, but its list is incomplete compared to the schema enum, and it adds no meaning beyond what is already in the parameter descriptions.

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 states a specific verb and resource: 'Get overview metrics as time-series data'. It distinguishes the time-series shape from a plain summary, but does not explicitly name sibling tools like rybbit_get_overview or rybbit_get_event_timeseries.

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 explicit when-to-use guidance or alternatives are provided. The phrase 'for charting trends' implies a use case but does not tell an agent when to choose this tool over rybbit_get_overview or rybbit_get_event_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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