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TicketSpice MCP by usefulapi

List tickets

ticketspice_list_tickets
Read-only

List sold tickets (one record per ticket): id, buyer billing name, event, ticket level, amount, fee, total, status, scan count and last scan time, event date. Filter by event (form), status, order, buyer email, customer id or dates. Use it for attendee lists and check-in status. GET /search/tickets.

Input Schema

NameRequiredDescriptionDefault
sortNoSort by id: asc or desc (the vendor default applies when omitted).
emailNoOnly tickets of orders placed with this email address.
limitNoResults per page, 1-50 (default 25).
statusNoTicket status string as the vendor returns it (for example "completed" or "active").
form_idNoOnly tickets of this event (form) id.
order_idNoOnly tickets of this order id.
customer_idNoOnly tickets of this customer id.
order_numberNoOnly tickets of this order number.
created_afterNoOnly records created after this time.
updated_afterNoOnly records updated after this time.
created_beforeNoOnly records created before this time.
starting_afterNoCursor: pass the previous reply's next_starting_after to get the next page.
updated_beforeNoOnly records updated before this time.
order_display_idNoOnly tickets of the order with this customer-facing order display id.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, so the safety profile is covered. The description adds real value by disclosing the full record shape (including fee/total breakdown, status, scan count and last scan time) and citing the underlying endpoint GET /search/tickets. It does not mention pagination behavior despite a cursor parameter, which is why it is not a 5.

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?

Three sentences, front-loaded with the return shape, then filters, then use case and endpoint. The field enumeration is long but justified because there is no output schema. Nothing is wasted, though the sentence is dense.

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 correctly compensates by listing returned fields; with 14 optional parameters fully documented in the schema, it need not repeat them. The only missing element an agent might want is pagination guidance (limit + starting_after cursor), which appears only 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?

Schema description coverage is 100%, so the baseline is 3. The description earns above baseline by grouping the filters into a coherent set and clarifying the vendor's 'event (form)' terminology linkage, which helps an agent map a user's event request onto form_id. It does not add format details or syntax for date parameters.

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 sold tickets') plus the crucial scope qualifier 'one record per ticket', which distinguishes it from the order-level sibling ticketspice_list_orders and from the single-record ticketspice_get_ticket. It then enumerates the returned fields, so an agent knows exactly what shape the result takes.

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?

'Use it for attendee lists and check-in status' gives concrete usage contexts, and the filter list implies the retrieval scenarios it covers. It stops short of naming exclusions or pointing to alternatives such as get_ticket for a single ticket or list_orders for order-level data.

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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