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Create knowledge base category

glpi_create_knowbase_category

Create a new knowledge base category in GLPI to organize articles. Specify name, parent category, and comments for structured knowledge management.

Instructions

Create a new knowledge base category.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesCategory fields (name, knowbaseitemcategories_id for parent, comment)

Output Schema

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

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.5.2

TDQS

C2.9/5.0
Behavior2/5

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

Annotations already declare readOnlyHint=false, destructiveHint=false, and idempotentHint=false, so the write/non-destructive profile is covered structurally. The description adds nothing beyond that – no mention of whether names must be unique, whether a parent category is required or optional, or any permission requirement for a mutation tool.

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?

One short, front-loaded sentence with no filler or repetition. It is efficient, though the extreme brevity leaves the definition under-specified for a mutation tool.

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 need not be described, and annotations carry the safety profile. However, for a create operation with a nested input object and a parent-category reference, the absence of any hierarchy or required-field context is a noticeable gap.

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 the nested input description already enumerates the fields (name, knowbaseitemcategories_id for parent, comment). The description adds no format, naming, or hierarchy detail beyond the schema, so 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?

The description names a specific verb and resource ('Create a new knowledge base category'), which is unambiguous and clearly distinct from the list/get/update/delete category siblings. It stops short of explicitly differentiating itself from those siblings in text, so it does not reach a 5.

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 guidance on when to use this tool versus alternatives such as glpi_create_knowbase_item or glpi_update_knowbase_category, and no prerequisites or parent-category requirements are mentioned. The agent must infer usage 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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