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pretix MCP by usefulapi

List waiting list

pretix_list_waiting_list
Read-only

List the waiting list entries of an event: who waits for which product, since when, and whether a voucher was already sent. Contains personal data (name, email, phone). Read-only: no voucher is sent. GET /organizers/{organizer}/events/{event}/waitinglistentries/.

Input Schema

NameRequiredDescriptionDefault
itemNoOnly this product (item id).
pageNoPage number, from 1 (default 1). Pass the previous reply's next_page.
emailNoExact email address.
eventYesEvent slug (see pretix_list_events).
orderingNoSort order (default created).
subeventNoOnly this event series date (sub-event id).
organizerNoOrganizer slug (see pretix_list_organizers). Optional when the login token sees exactly one organizer.
page_sizeNoResults per page, 1-50 (default 50).
variationNoOnly this variation id.
has_voucherNoOnly entries that already got a voucher (true) or are still waiting (false).

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, so the safety profile is covered; the description adds value by confirming no voucher is dispatched as a side effect and by disclosing that results contain personal data (name, email, phone). It does not mention rate limits or result-set size, but the extra PII and no-side-effect context goes beyond the annotations.

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?

Three short sentences: what it returns, the safety/PII caveat, and the underlying endpoint. The content description is front-loaded and nothing is redundant with the schema.

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?

With no output schema, the description usefully characterizes the returned record fields (waiter, product, entry date, voucher status) and notes PII, which is what an agent needs to interpret results. Paging behavior and total counts are only implied via schema, leaving a minor 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 100%, with every parameter including event, item, email, has_voucher, ordering, and paging documented inline. The description adds no parameter-level detail beyond the general notion of listing entries, so the schema carries the full burden — baseline 3.

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?

States a specific verb and resource ('List the waiting list entries of an event') and enumerates the actual content of each entry (who waits, for which product, since when, voucher status). No sibling tool covers waiting lists, and the endpoint path confirms the resource unambiguously.

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?

Gives useful operative context — 'Read-only: no voucher is sent' and 'Contains personal data' — which tells the agent this is a safe inspection call and flags PII handling. It stops short of stating filtering scenarios (e.g., use has_voucher=false to find unserved entries) or pointing at a follow-up tool for sending vouchers, so no explicit when/when-not routing.

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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