NexTool MCP for GLPI

Update problem

glpi_update_problem

DestructiveIdempotent

Update an existing problem 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": {
      "problemId": "<problemId>",
      "input": "<input>"
    },
    "name": "glpi_update_problem"
  }
}

Input Schema

Name	Required	Description	Default
`input`	Yes	Fields to update
`problemId`	Yes	Item ID

Output Schema

Name	Required	Description	Default
`data`	No

Schema Changelog

Changes observed during successful MCP inspections.

First observedOct 17, 2026

TDQS

B3.1/5.0

Behavior2/5

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

Annotations already declare destructiveHint=true, idempotentHint=true, and openWorldHint=true. The description adds no behavioral context beyond restating that the operation updates an existing problem by ID, so it does not help the agent understand what is destroyed, how changes are applied, or any authorization constraints.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single front-loaded sentence with no redundant or filler text. It is maximally concise for the amount of information it chooses to convey.

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 explained, and annotations cover the safety profile. However, the 'input' parameter is an open object for update fields, and the description provides no additional guidance on what fields are valid or expected, leaving a gap for correct invocation.

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 baseline is 3 even with minimal parameter detail in the description. The phrase 'by ID' maps to the required problemId parameter, but the description says nothing about the 'input' object or which fields it accepts.

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 states a specific verb and resource: 'Update an existing problem by ID.' This clearly distinguishes the tool from create, get, and list siblings. However, it does not explicitly differentiate it from other update tools such as glpi_update_ticket or glpi_update_change beyond the resource name.

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, nor any prerequisite or exclusion conditions. The only implicit signal is the verb 'update,' which is sufficient to infer it modifies an existing problem, but no usage context is provided.

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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