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NexTool MCP for GLPI

NexTool MCP for GLPI

by NexTools-Solutions
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Hybrid

Get knowledge base category

glpi_get_knowbase_category
Read-onlyIdempotent

Retrieve a GLPI knowledge base category by ID, choosing output format (JSON or Markdown) and field detail level.

Instructions

Retrieve a knowledge base category by ID.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "categoryId": "<categoryId>"
    },
    "name": "glpi_get_knowbase_category"
  }
}

Input Schema

NameRequiredDescriptionDefault
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)
categoryIdYesItem ID

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 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=true, idempotentHint=true, and destructiveHint=false, so safety is covered structurally. The description adds nothing beyond that—no note on behavior when categoryId does not exist, permission requirements, or whether a missing ID errors versus 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?

One short sentence, front-loaded with the verb and resource, with zero padding. It is efficient, though its brevity borders on under-specification rather than true concision.

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 no explanation, and the annotations cover the read-only nature. However, for a 3-parameter tool with optional fields/format controls, the description omits any context about default behavior or error handling, leaving it only minimally adequate.

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%, so the schema already documents categoryId, fields ('essential'/'all'), and format ('json'/'markdown'). The description's 'by ID' adds no meaning beyond the schema, 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?

States a specific verb (Retrieve) and resource (knowledge base category) plus the lookup key (by ID), which distinguishes it from the sibling verbs list/create/update/delete_knowbase_category. It stops short of naming an alternative explicitly, but the action 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 when-to-use guidance, no exclusions, and no pointer to alternatives such as glpi_list_knowbase_categories for discovery or glpi_get_knowbase_item for items within a category. The agent must infer everything 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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