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chrischall

eventbrite-mcp

by chrischall

eb_reference

Read-only

Retrieve Eventbrite reference data for categories, subcategories, formats, timezones, countries, and regions to supply valid filters for event searches.

Instructions

List Eventbrite reference data: categories (103=Music, 101=Business, 110=Food & Drink, …), subcategories, formats, timezones, countries or regions. Category/subcategory/format ids feed eb_search_events filters.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
kindYesWhich list to fetch
viewNoResponse shape: "compact" (default) drops fields the response already carries elsewhere; "full" returns every field this server understands. compact strips image/avatar URLs from the response; "full" returns Eventbrite's payload untouched. No field projection on this tool: this server has no verified record of which Eventbrite fields matter here, and inventing one would risk dropping a field a caller needs.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed1 schema field changedv1.0.0
    • changedInput schema / $schema
      Previous value: -"http://json-schema.org/draft-07/schema#"New value: +"https://json-schema.org/draft/2020-12/schema"
  2. Changed1 schema field changedv0.3.1
    • addedInput schema / properties / view
      Added value: +{
      +  "description": "Response shape: \"compact\" (default) drops fields the response already carries elsewhere; \"full\" returns every field this server understands. compact strips image/avatar URLs from the response; \"full\" returns Eventbrite's payload untouched. No field projection on this tool: this server has no verified record of which Eventbrite fields matter here, and inventing one would risk dropping a field a caller needs.",
      +  "enum": [
      +    "compact",
      +    "full"
      +  ],
      +  "type": "string"
      +}
  3. First observedv0.1.0

TDQS

A4.3/5.0
Behavior3/5

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

The readOnlyHint annotation already signals that this is a safe read operation, and the description's 'List' wording is consistent with that. The description adds useful integration context but does not disclose further operational behavior such as auth requirements, rate limits, pagination, or failure modes. With the annotation lowering the bar, a neutral 3 is appropriate.

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 two efficient sentences with no fluff. It front-loads the core purpose, immediately enumerates the valid kinds, and closes with a practical usage insight. Every sentence earns its place.

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?

With only two parameters, one required, a readOnly annotation, and a low-complexity reference-data task, the description plus schema are complete enough to invoke the tool correctly. The inline id=label examples hint at the response shape, and the view parameter semantics are already fully documented in the schema.

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

Parameters4/5

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

The input schema already documents both parameters at 100% coverage, so the baseline is 3. The description adds meaningful value by providing real category id examples and explaining how 'kind' values relate to eb_search_events filters, going slightly beyond the schema's own parameter descriptions.

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 states a specific verb and resource: 'List Eventbrite reference data', and enumerates exactly which kinds of data are included. It also shows concrete id-to-label examples, which removes ambiguity and makes the tool clearly distinct from the event/order/venue sibling tools.

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

Usage Guidelines4/5

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

The description provides clear downstream context by noting that category/subcategory/format ids feed eb_search_events filters. This tells an agent when fetching this reference data is useful, though it does not explicitly contrast the tool with alternatives or state when not to use it.

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