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Create knowledge base item

glpi_create_knowbase_item

Create a GLPI knowledge base article with a name, HTML answer, and category to document solutions and share support information.

Instructions

Create a new knowledge base article. Fields: name, answer (HTML content), knowbaseitemcategories_id, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYesKnowledge base item fields

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 the full safety profile (readOnlyHint=false, destructiveHint=false, idempotentHint=false, openWorldHint=false). The description adds almost nothing beyond that; the only extra behavioral signal is that 'answer' expects HTML content, and it omits permissions, duplicate behavior, or what happens if a referenced category is missing.

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 short sentences, front-loaded with the action and followed by field hints; no filler. The trailing 'etc.' is a minor weakness but the overall size is appropriate.

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

Completeness2/5

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 no explanation, but this is a mutation whose nested input object is effectively undocumented. Listing only three fields with 'etc.' leaves an agent guessing which fields are required to create a valid article.

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 coverage is nominally 100%, but the schema's single 'input' parameter is an untyped object with additionalProperties: {}, so it documents no actual fields. The description names three fields (name, answer, knowbaseitemcategories_id) and truncates with 'etc.', adding real value but leaving required/optional status and the full field set unspecified.

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 ('Create a new knowledge base article'), which cleanly separates it from the sibling list/get/update/delete knowbase tools. It doesn't explicitly name those siblings, but the create-vs-read distinction is unambiguous.

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?

No guidance on when to use this versus glpi_update_knowbase_item or glpi_create_knowbase_category, no prerequisites such as an existing category ID, and no note about duplicate prevention despite idempotentHint=false.

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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