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rybbit-mcp

by nks-hub

User Event Breakdown

rybbit_get_user_event_breakdown
Read-onlyIdempotent

Get event count breakdown for a specific user to see how many times each event was triggered, aiding per-user behavior analysis.

Instructions

Get event count breakdown for a specific user. Shows how many times each event_name was triggered by this user. Accepts either the Rybbit user_id (device hash) or the identified_user_id (app-provided user ID). Useful for analyzing per-user behavior like ad_click, chat_message_sent, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteIdYesSite ID (numeric ID or domain identifier)
userIdYesUser ID — either Rybbit device hash (user_id) or app-provided ID (identified_user_id). Both are checked.
endDateNoEnd date in ISO format (YYYY-MM-DD)
filtersNoArray of filters. Example: [{parameter:'browser',type:'equals',value:['Chrome']},{parameter:'country',type:'equals',value:['US','DE']}]
timeZoneNoIANA timezone (e.g., Europe/Prague). Default: UTC
startDateNoStart date in ISO format (YYYY-MM-DD)
pastMinutesEndNoAlternative to dates: minutes ago end (default 0 = now)
pastMinutesStartNoAlternative to dates: minutes ago start (e.g., 60 = last hour)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed2 schema fields changedv0.8.1
    • 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"
      +          },
      +          "event_name": {
      +            "type": "string"
      +          }
      +        },
      +        "type": "object"
      +      },
      +      "type": "array"
      +    }
      +  },
      +  "type": "object"
      +}
  2. Changed1 schema field changedv0.4.3
    • 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."
  3. First observedv0.5.2

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, non-destructive and closed-world, so the safety profile is covered. The description adds genuinely useful behavioral context beyond them: the userId parameter resolves either a device hash or an app-provided identified_user_id, and both are checked. It does not discuss pagination or result limits, but no false claims are made.

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?

Three sentences, front-loaded with the core action and output shape, followed by the ID-resolution note and a usage hint. Efficient overall; the trailing 'etc.' example clause is slightly loose but still earns its place by illustrating the event_name dimension.

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?

An output schema exists, so return values need not be explained, and the annotations cover safety. The description supplies the essential per-user framing and ID semantics; the only gap is the absence of any routing guidance toward the many sibling event/user tools.

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 including the dual meaning of userId. The description restates the userId resolution behavior, which reinforces but does not extend the schema, and says nothing about filters, date windows, or pastMinutes alternatives. Baseline 3 is appropriate.

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+resource: 'Get event count breakdown for a specific user' and clarifies the output shape ('how many times each event_name was triggered'). It is clear without opening the schema, though it never names the sibling tools it must be distinguished from (e.g. rybbit_get_event_aggregate, rybbit_get_event_user_leaderboard), so an agent must infer the boundary.

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?

'Useful for analyzing per-user behavior like ad_click, chat_message_sent, etc.' gives implied usage context and example events, but there is no explicit when-to-use/when-not and no mention of the sibling tools that also aggregate events. Usage is suggested rather than prescribed.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.