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List ticket tasks

glpi_list_ticket_tasks
Read-onlyIdempotent

List tasks (to-do items) for a specific GLPI ticket, showing author, technician, and group names. Use ticketId to retrieve the ticket's tasks.

Instructions

List tasks (to-do items) for a ticket, with author, technician and group names (user_name, tech_name, tech_group_name).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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)
ticketIdYesItem ID

Output Schema

TableJSON 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 observedv3.5.2

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false and openWorldHint=false, so the safety profile is fully covered upstream. The description adds only that author/technician/group names are included, without mentioning pagination behavior, permissions, or empty-result handling; adequate but not rich beyond the structured fields.

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?

A single front-loaded sentence naming the action, target resource, and notable returned fields, with zero redundant or filler text.

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 an output schema present and annotations covering safety, the description only needs to establish purpose and scope, which it does. It is slightly thin on when this tool should be chosen over related list tools, but nothing essential for correct invocation 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 all four parameters (ticketId, range, fields, format) are documented in the schema itself. The description adds no parameter-level meaning or syntax, so the baseline of 3 applies.

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 tasks (to-do items) for a ticket') and clarifies the domain concept (tasks = to-do items). The phrase 'for a ticket' implicitly separates it from glpi_list_change_tasks and glpi_list_problem_tasks, though no sibling is named explicitly.

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

Usage Guidelines2/5

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

The description gives no when-to-use guidance, no prerequisites, and no exclusions relative to alternatives such as glpi_list_timeline, glpi_list_followups, or the change/problem task variants. Usage must be inferred entirely from the name.

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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