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trengo

List tickets

trengo_list_tickets
Read-only

List tickets (conversations) visible to the token's user, newest activity first, with channel and latest message. Filter by status, contact, assignee, channel, label, last message direction or update time. Trengo: GET /tickets.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pageNoPage number (1-based). Omit for the first page.
sortNoBy last message time: -date newest first (default), date oldest first.
usersNoOnly these assigned user ids.
labelsNoOnly these label ids.
statusNoOnly tickets in this status. INVALID = spam.
channelsNoOnly these channel ids.
contact_idNoOnly tickets of this contact.
updated_at_gtNoOnly tickets updated after this date-time.
last_message_typeNoOnly tickets whose last message was INBOUND or OUTBOUND.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true, so safety is covered. The description adds meaningful context beyond that: the token-scoped visibility, the default newest-first ordering, and that each result carries its channel and latest message. It does not describe pagination limits or result volume, which keeps it from 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.

Conciseness5/5

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

Two tight sentences: the primary behavior and scope lead, filters and inclusion set follow. Nothing is wasted and the trailing endpoint note costs negligible space.

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?

There is no output schema, so the description carries the return-value burden and does explain that results include channel and latest message plus the sort order. Combined with the fully documented input schema, an agent has what it needs to invoke correctly; only pagination/volume behavior is left implicit.

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 9 well-documented parameters, so the schema carries the parameter burden and baseline 3 applies. The description enumerates the filter axes (status, contact, assignee, channel, label, direction, update time) but adds no syntax or semantics beyond the enum/type hints already in the schema.

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 (List), resource (tickets/conversations), scope (visible to the token's user) and default ordering (newest activity first), which lets an agent distinguish it from trengo_list_ticket_messages or trengo_list_ticket_results. It stops short of naming the sibling that would be the alternative, so it is clear but not maximally differentiated.

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

Usage Guidelines3/5

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

The enumeration of filter dimensions implies when the tool is useful (browsing/filtering a ticket queue), and 'visible to the token's user' hints at the auth context. However it never states when to prefer this over trengo_list_ticket_results or trengo_get_ticket_details_report, so usage is only implied.

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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