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nks-hub

rybbit-mcp

by nks-hub

Analyze Funnel

rybbit_analyze_funnel
Read-onlyIdempotent

Analyze custom conversion funnels by defining page or event steps, returning visitor counts and drop-off rates for each step.

Instructions

Analyze a custom funnel by defining steps (page visits or events). Returns visitor counts and drop-off rates at each step.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepsYesFunnel steps to analyze (minimum 2)
siteIdYesSite ID (numeric ID or domain identifier)
endDateNoEnd date (YYYY-MM-DD)
filtersNoFilters to apply
timeZoneNoIANA timezone (default UTC)
startDateNoStart date (YYYY-MM-DD)
pastMinutesEndNoMinutes ago end
pastMinutesStartNoMinutes ago start

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
stepsNoPer-step counts and dropoffs

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": {
      +    "steps": {
      +      "description": "Per-step counts and dropoffs",
      +      "items": {
      +        "additionalProperties": true,
      +        "properties": {
      +          "count": {
      +            "type": "number"
      +          },
      +          "dropoff": {
      +            "type": "number"
      +          },
      +          "dropoffRate": {
      +            "type": "number"
      +          },
      +          "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

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint and destructiveHint=false, so the safety profile is fully covered. The description adds only the return shape (counts and drop-off rates), which the output schema already documents, so it contributes marginal behavioral context.

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 tight sentences with zero filler; the core action and its output are front-loaded and nothing is wasted.

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?

With an output schema explaining returns and annotations covering the safety profile, the description need not restate those. It is nearly complete; the only gap is the absence of usage guidance relative to sibling funnel 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 parameters (steps, filters, dates, timezone) are already fully documented in the schema. The description mentions 'steps (page visits or events)' but adds no syntax or format detail beyond what the schema already states.

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 gives a specific verb ('Analyze') and resource ('custom funnel') and clarifies the tool defines steps inline (page visits or events) and returns per-step visitor counts and drop-off rates. This clearly separates it from create/delete/list funnel siblings even though it never names them explicitly.

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?

It implies the tool is for an ad-hoc, inline-defined funnel rather than a stored one, but never states when to use it versus list_funnels or get_funnel_step_sessions, nor any prerequisites (e.g., a site must have data). No when-to-use or alternative routing is provided.

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