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list_seat_maps

Retrieve seat maps for an organization via the Eventbrite API. Filter by venue ID or name to find specific seating arrangements.

Instructions

List Seat Maps by Organization.

ENDPOINT: GET /organizations/{organization_id}/seatmaps/

PARAMETERS:

  • venue_id: Filter by venue

  • venue_name_filter: Filter by venue name substring

WARNING: Response not paginated yet, will be paginated soon.

AUTHENTICATION: Requires: Authorization: Bearer PERSONAL_OAUTH_TOKEN

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
venue_idNoVenue ID filter
organization_idYesOrganization ID (required)
venue_name_filterNoVenue name filter

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.6

TDQS

A3.5/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does disclose two non-obvious traits: the response is currently unpaginated (with a warning it will change) and authentication requires a Bearer personal OAuth token. It does not state the result ordering, size, or read-only guarantees, but the pagination and auth notes are genuinely useful.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The header-style layout is front-loaded and scannable: purpose, endpoint, parameters, warning, auth. Every line carries information, though the endpoint and parameter list partly duplicate the schema, adding mild redundancy.

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 3-parameter list tool with no output schema and no annotations, the description supplies endpoint, auth, and a pagination caveat — enough for an agent to call it correctly. It omits any hint about the response shape or typical result volume, which is the main remaining gap.

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 already 100%, so the schema documents all three parameters. The description largely repeats them, adding only one useful nuance — that venue_name_filter matches on a name substring — so it hovers at the baseline for high-coverage schemas.

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?

States a specific verb+resource+scope: 'List Seat Maps by Organization', and even names the underlying endpoint GET /organizations/{organization_id}/seatmaps/. This clearly distinguishes it from the sibling create_seat_map, but it does not explicitly reference alternatives or describe what a 'seat map' contains.

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?

The description says what it lists but never states when to use it versus create_seat_map or how the two venue filters interact (e.g., whether venue_id and venue_name_filter are mutually exclusive or combined). Usage is only implied by the verb 'List'.

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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