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List ticket rule actions

glpi_list_rule_ticket_actions
Read-onlyIdempotent

List actions of a specific ticket rule (sub-items of RuleTicket).

Input 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)
ruleIdYesItem ID
expand_dropdownsNoExpand dropdown IDs to names

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

B3.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint, so the safety profile is fully covered. The description adds the useful structural fact that these are sub-items of RuleTicket, but says nothing about pagination defaults, result size, or whether an unknown ruleId errors or returns empty.

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?

A single short sentence with the resource front-loaded and no filler; the parenthetical earns its place by naming the underlying GLPI type. It is arguably too terse to carry any routing guidance, but nothing is wasted.

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

Completeness3/5

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

With rich annotations, a full output schema, and 100% parameter coverage, most of the burden is already carried elsewhere, so a short description is defensible. The remaining gap is disambiguation from the very similar sibling list tools, which the description does not address.

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 every parameter (range, fields, format, ruleId, expand_dropdowns) is documented in the schema with enums and examples. The description contributes no additional parameter meaning, so the baseline 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?

Names a specific verb and resource ('List actions of a specific ticket rule') and adds the parenthetical that these are sub-items of RuleTicket, which clarifies the object model. It does not, however, explicitly distinguish itself from the near-identical sibling glpi_list_rule_actions.

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?

There is no when-to-use, when-not-to-use, or alternative-tool guidance. The phrase 'of a specific ticket rule' only implies that a ruleId is required, which the schema already enforces via required: [ruleId]. Nothing helps an agent choose between this and glpi_list_rule_actions or glpi_list_rule_ticket_criteria.

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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