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vexo-mcp

by kishanssg

vexo_get_event_names

Read-only

Discover the top 50 event names by frequency within a date range. Use this tool when you don't know which event names exist in your Vexo analytics.

Instructions

Discover the event-name vocabulary in a date window (schema discovery). Scans ALL Vexo events in [start_date, end_date] and returns the top 50 event names by frequency. Use this FIRST when you don't know which event names exist. event_name = metadata.name if present, else the event's top-level "type".

Inputs: start_date: ISO date "YYYY-MM-DD" (or full ISO datetime), e.g. "2026-06-01". end_date: ISO date, e.g. "2026-06-07". MUST be <= 31 days after start_date (Vexo caps a single range at ~31 days). Date-only end is inclusive.

Returns: { window:{start,end,days}, total_events, distinct_event_names, event_names:[{event_name, count}, ... up to 50, desc] }. On failure: { error }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_dateYesISO date, e.g. "2026-06-01"
end_dateYesISO date <=31d after start, e.g. "2026-06-07"
Behavior5/5

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

Adds significant context beyond annotations: explains what events are scanned (ALL in date range), output limit (top 50 by frequency), derivation of event_name, date range constraints (max 31 days), inclusive end behavior, and failure case. No contradiction with readOnlyHint.

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?

Concise and well-structured: purpose sentence, usage hint, parameter explanations, return format, and error case. Every sentence adds value; no fluff.

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

Completeness5/5

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

Completely covers what an agent needs: purpose, when to use, parameter details with constraints, return structure, and failure mode. Despite no output schema, the description provides full return format.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100%, but description adds format examples ('YYYY-MM-DD'), constraint (end <=31 days after start), and clarifies inclusive end for date-only inputs. Provides additional meaning beyond schema.

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?

Description clearly states the tool's purpose: 'Discover the event-name vocabulary in a date window (schema discovery).' It distinguishes from siblings by focusing on name discovery (vs counting, timeline, recent events, sessions, overview).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicit guidance: 'Use this FIRST when you don't know which event names exist.' This tells the agent when to invoke the tool versus alternatives.

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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