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Update ticket validation

glpi_update_ticket_validation
DestructiveIdempotent

Approve or refuse a GLPI ticket validation, or change its assigned approver, by validation ID. Use it to update approval status or reassign approval responsibility.

Instructions

Approve/refuse a validation (status: accepted/refused) or change the approver.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
inputYese.g. {status: 'accepted'} or {users_id_validate: 2}
validationIdYesItem ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
dataNo

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv3.5.2

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already declare destructiveHint=true, readOnlyHint=false, and idempotentHint=true, so the safety profile is covered. The description adds the domain semantics of the mutation (it decides a validation), but does not warn that approving/refusing is a final state change or note any permission requirements.

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?

A single tight sentence that front-loads the primary operation and appends the alternative action with its parameter name. No filler.

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

Completeness4/5

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 annotations cover the destructive/idempotent profile. What remains thin is the state precondition for a validation (pending vs already decided) and the meaning of `users_id_validate`, but the definition is otherwise sufficient to invoke correctly.

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?

Schema coverage is 100%, but the freeform `input` object has additionalProperties with no enum on `status`, so the schema does not constrain values. The description supplies the allowed values (accepted/refused) and the approver-change alternative, which is genuine added meaning beyond the schema examples.

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 pair (approve/refuse) and resource (validation), plus a second supported operation (change the approver). An agent can distinguish it from glpi_create_ticket_validation and glpi_delete_ticket_validation from the description alone, though the siblings are not named.

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?

The description lists the two possible operations but gives no when-to-use context, no prerequisites (e.g. the validation must be pending), and no routing away from the create/list/delete validation siblings. Usage is only implicit in the verb list.

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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