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the-real-snipeit-mcp

POST /hardware/{id}/checkout

snipeit_gen_hardware_checkout
Destructive

Check out a Snipe-IT hardware asset to a user, location, or another asset by asset ID, specifying status and optional check-in details.

Instructions

POST /hardware/{id}/checkout: Checkout an asset to a user, location or another asset. Generated from Snipe-IT OpenAPI operation hardware-checkout.

Input Schema

NameRequiredDescriptionDefault
idYesThe id (not the asset tag) of the asset you'd like to query
bodyNo
confirmNoRequired when SNIPEIT_CONFIRM_WRITES=true. Exact string "YES" to apply this write.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

C2.6/5.0
Behavior2/5

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

Annotations already declare destructiveHint=true, idempotentHint=false and openWorldHint=true, so the safety profile is covered. The description adds nothing beyond that: it never mentions the confirm="YES" write gate, the requirement for a deployable status_id, or side effects such as the asset's status changing and appearing in the user's asset list. 'Generated from Snipe-IT OpenAPI operation' is provenance boilerplate, not behavior.

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

Conciseness3/5

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

It is short and front-loads the operation, but the redundant 'POST /hardware/{id}/checkout:' prefix and the 'Generated from ...' sentence occupy half the text without adding meaning.

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?

For a destructive mutation tool with no output schema and a nested body whose fields are undocumented, the description leaves out prerequisites (confirm gate, status_id semantics), linkage rules between checkout_to_type and the assigned_* fields, and expected outcomes. An agent would have to infer most of what it needs.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is only 67%, and the nested body object has eight properties with zero descriptions in the schema, so the description must compensate. It only hints that the target is a user, location or asset, without explaining that assigned_user/assigned_location/assigned_asset must correspond to checkout_to_type, or what status_id, checkout_at and expected_checkin mean. Required-field and confirmation semantics are left entirely to the schema.

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 ('Checkout an asset') and names the three possible checkout targets, which is more informative than the bare title. However, it does not distinguish this generated endpoint from the near-identical sibling snipeit_checkout_hardware, so an agent still cannot choose between them from the description alone.

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 snipeit_checkout_hardware, snipeit_bulk_checkout, or the accessory/consumable/component checkout variants. The only context given is the HTTP path, which is not a usage rule.

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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