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daikazu

Rybbit MCP Server

by daikazu

rybbit_get_event_names

List unique custom event names with occurrence counts for a site, optionally filtered by date range or past minutes, to analyze event frequency.

Instructions

Get a list of unique custom event names with their occurrence counts

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
siteIdYesSite ID or identifier
endDateNoEnd date in YYYY-MM-DD format
filtersNoJSON array of filter objects with parameter, type, and value fields
timeZoneNoIANA timezone identifier (e.g., America/New_York)
startDateNoStart date in YYYY-MM-DD format
pastMinutesEndNoMinutes ago for end (alternative to date-based)
pastMinutesStartNoMinutes ago for start (alternative to date-based)
Behavior3/5

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

With no annotations, the description carries the burden of disclosing behavior. It does reveal that the tool returns aggregated counts and unique names, which is useful. However, it does not mention date-range applicability, permission requirements, or output structure beyond counts, leaving some behavioral ambiguity.

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?

The description is a single, efficient sentence that conveys the core function without any filler. Every word contributes value.

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?

For a tool with 7 parameters and no output schema, the description sufficiently explains the main return value (unique event names with counts). Combined with 100% schema parameter coverage, this is nearly complete. Minor gaps like sorting or pagination behavior are not critical for basic usage.

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%, and each parameter has a descriptive definition. The tool description does not add parameter-specific context, but given full schema coverage, a baseline of 3 is appropriate.

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?

The description uses a specific verb and resource ('Get a list of unique custom event names') and adds the distinguishing detail of 'occurrence counts'. This clearly separates it from sibling tools like rybbit_get_events or rybbit_get_event_properties.

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 guidance is provided on when to use this tool versus alternatives. The description does not mention exclusions, prerequisites, or recommend this over rybbit_get_events for summary purposes. Usage context is only implied by the tool name and description.

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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