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List my tickets

glpi_list_my_tickets
Read-onlyIdempotent

"My tickets": tickets of the connected GLPI user (or of users_id) where they are requester, assigned technician or observer. Defaults: open tickets only (not solved nor closed), most recently updated first. Each row names the people: requesters, assigned and observers as {id, name}, plus status_name and my_roles. Use this for "meus chamados", "my open tickets", "tickets assigned to me".

Input Schema

NameRequiredDescriptionDefault
roleNoWhich link to the user: requester, assigned (technician), observer, or any (default)
sortNoSort column (default date_mod = last update)
orderNoSort direction (default desc = most recent first)
rangeNoPagination range, e.g. 0-49
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)
statusNoStatuses to include (default open = not solved nor closed): new, assigned (= processing), planned, pending, solved, closed, open. One name or a list.
users_idNoAnother user's ID (default: the connected user)

Output Schema

NameRequiredDescriptionDefault
dataNo
noteNoPagination hint: how to fetch the next page
roleNo
userNoWhose tickets these are
countNoItems in this page
totalNoTotal matching tickets (all pages)
formatNo'markdown' when data holds the markdown rendering
statusNo

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 cover the read-only, idempotent, non-destructive safety profile. The description adds genuinely useful behavior beyond that: the default filter (open only, excluding solved/closed), the default sort (most recently updated first), and the shape of each returned row ({id, name} people plus status_name and my_roles).

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?

Effectively two dense sentences: the first front-loads scope and defaults, the second describes row contents and gives usage cues. No filler, and the most decision-relevant information (whose tickets, default filter) leads.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a read-only, fully-defaulted listing tool, the description covers scope, defaults, sort behavior, and row shape, and an output schema exists so return values needn't be re-explained. Nothing an agent needs to invoke it correctly is missing.

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%, and each parameter already carries a clear enum and description (role, sort, order, range, fields, format, status, users_id). The description only echoes the role/scope semantics and adds no syntax or format detail beyond the schema, so the baseline 3 applies.

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 (list) and resource (my tickets) and pins the exact scope: tickets where the connected user is requester, assigned technician, or observer. This cleanly separates it from the sibling glpi_list_tickets (all tickets) without requiring the agent to open either schema.

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?

Provides clear context and even trigger phrases ("meus chamados", "my open tickets", "tickets assigned to me") that map user intent to this tool. However it never explicitly names the alternative (e.g. glpi_list_tickets for tickets not involving me), so the when-not condition 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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