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nks-hub

rybbit-mcp

by nks-hub

List Events

rybbit_list_events
Read-onlyIdempotent

Retrieve raw event data from your Rybbit Analytics site with flexible filtering and pagination. Filter by event name, time range, device, location, and more to get individual event records including timestamps, types, and properties.

Instructions

List raw events for a site with filtering and pagination. Returns individual event records with timestamps, types, pathnames, event names, and properties. When filtering by event_name, only matching events are returned (not entire sessions).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteIdYesSite ID (numeric ID or domain identifier)
startDateNoStart date in ISO format (YYYY-MM-DD)
endDateNoEnd date in ISO format (YYYY-MM-DD)
timeZoneNoIANA timezone (e.g., Europe/Prague). Default: UTC
filtersNoArray of filters. Example: [{parameter:'browser',type:'equals',value:['Chrome']},{parameter:'country',type:'equals',value:['US','DE']}]
pastMinutesStartNoAlternative to dates: minutes ago start (e.g., 60 = last hour)
pastMinutesEndNoAlternative to dates: minutes ago end (default 0 = now)
pageNoPage number, 1-indexed (default: 1)
limitNoResults per page (default: 20-50 depending on endpoint, max 200)
eventNameNoFilter to only return events with this exact event_name (e.g., 'ad_click'). More precise than using the filters array which returns entire sessions.
Behavior4/5

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

Annotations already indicate read-only and idempotent. Description adds useful behavioral context (returns individual records with specific fields, event_name filtering returns only matching, not sessions). No contradictions.

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 concise, front-loaded sentences. First defines purpose and output, second clarifies a key behavioral detail. No wasted words.

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?

No output schema, so description compensates by listing returned fields. Covers pagination and filtering. Could mention default pagination values but schema covers that. Sufficient for a straightforward list tool.

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 baseline is 3. The description does not add meaningful new parameter semantics beyond what the schema already provides.

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

Purpose5/5

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

Clearly states verb 'List' and resource 'raw events for a site'. Specifies return fields (timestamps, types, etc.) and distinguishes from siblings like rybbit_list_sessions.

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?

Provides guidance on event_name filtering behavior but lacks explicit comparison to alternative tools or when-to-use scenarios. With many sibling tools, more explicit usage context would help.

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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