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List ticket users

glpi_list_ticket_users
Read-onlyIdempotent

List all users linked to a ticket (requesters, observers, assigned), with each person's name (user_name) beside users_id and type_name (in the GLPI user's language). type: 1=Requester, 2=Assigned, 3=Observer.

Input Schema

NameRequiredDescriptionDefault
fieldsNoField set: 'essential' (default, trims internal GLPI fields) or 'all'
formatNoOutput format: 'json' (default) or 'markdown' (a table for listings, key/value lines for one item; returned in both the text and the structured result)
ticketIdYesItem ID

Output Schema

NameRequiredDescriptionDefault
dataNo
noteNoPagination hint: how to fetch the next page
countNoItems in this page
formatNo'markdown' when data holds the markdown rendering

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true and destructiveHint=false, so the safety profile is covered. The description adds the returned field list (user_name, users_id, type_name) and the language behavior of type_name, but since an output schema exists this is largely return-shape context rather than behavioral disclosure.

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?

Two tight sentences; the primary purpose is front-loaded and the role enumeration is placed at the end. The parenthetical field list is slightly redundant given the output schema, but overall there is little waste.

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 complete schema coverage, an output schema, and full annotations, the definition covers what an agent needs to invoke it. Only the lack of explicit sibling routing keeps it from being fully complete.

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%, so the schema already documents fields, format, and ticketId. The description adds a 'type' mapping, but there is no type parameter in the schema, so it does not actually clarify any input. Baseline 3 applies when the schema carries the full load.

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 and resource ('List all users linked to a ticket') and scopes the three relationship types it returns. It implicitly distinguishes itself from glpi_list_users (all users) and glpi_list_ticket_groups, but never names those siblings explicitly.

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?

Usage is implied by the name and description – you call this to see who is involved with a ticket – but there is no explicit when-to-use, when-not-to-use, or pointer to an alternative such as glpi_list_ticket_groups or glpi_get_ticket.

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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