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Create ticket

glpi_create_ticket

Create a new ticket. Common fields: name (title), content (description), entities_id, users_id_requester, itilcategories_id, type (1=Incident, 2=Request), urgency, impact, priority.

Input Schema

NameRequiredDescriptionDefault
inputYesTicket fields

Output Schema

NameRequiredDescriptionDefault
dataNo
replayedNoTrue when an identical recent create was returned instead of repeated

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.1/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, idempotentHint=false, openWorldHint=true, and destructiveHint=false, so the safety profile is covered. The description adds nothing beyond that – no note on the risk of duplicate tickets given non-idempotency, no permission/auth requirements, and no side effects such as notifications to requesters.

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 front-loaded sentences with no filler; the purpose comes first and the field list follows. The list is dense but each item is useful given the empty schema, so little could be cut without losing information.

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?

An output schema exists, so return values are not the description's burden. However, for a creation tool with a completely open input object, the description doesn't state minimum required fields or the duplicate-creation caveat implied by idempotentHint=false, leaving gaps an agent would need filled.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema is effectively unconstrained (a single free-form object with additionalProperties: {}), so the description is the only real source of field semantics and it delivers: it maps common field names to meaning and decodes the type enum (1=Incident, 2=Request). It falls short of stating which fields are required or the full field set.

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+resource ('Create a new ticket') and backs it with a concrete field list, which cleanly separates it from glpi_update_ticket, glpi_get_ticket, and glpi_list_tickets. It does not, however, explicitly name a sibling or scope boundary (e.g., ticket vs change vs problem).

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 guidance and no alternatives named. Given siblings like glpi_create_change and glpi_create_problem exist, an agent gets no signal about when a ticket is the right artifact versus those. Usage is only implied by the verb.

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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