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the-real-snipeit-mcp

the-real-snipeit-mcp

Checkin component from an asset

snipeit_checkin_component
Destructive

Checks in a specified quantity of components to Snipe-IT inventory using the components_assets pivot record ID and required checkin quantity.

Instructions

POST /components/{id}/checkin: check a quantity of a component back in. Per spec, the id here is the record ID in the components_assets join table (the pivot/relationship ID), and checkin_qty is required.

Input Schema

NameRequiredDescriptionDefault
idYesID of the record in the components_assets join table (pivot ID)
confirmNoRequired when SNIPEIT_CONFIRM_WRITES=true. Exact string "YES" to apply this write.
checkin_qtyYesQuantity of components to check in

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

A3.8/5.0
Behavior4/5

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 risk profile is covered. The description adds genuinely non-obvious behavioral context: the `id` is the components_assets pivot record ID, not the component ID, which is the single most likely cause of a mis-targeted destructive write. It stops short of saying what state changes on the asset or whether the operation can be reversed.

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 front-loaded sentence that leads with the endpoint and verb, then spends its remaining words only on the highest-risk detail (pivot ID semantics). 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?

For a destructive mutation with full annotation coverage, complete schema descriptions and no output schema, the description supplies the one thing an agent could not infer: the pivot-ID targeting rule. It leaves return behavior and post-checkin asset state unstated, which is acceptable but not exhaustive.

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. The description's note about `id` being the pivot ID duplicates the schema's own parameter description almost verbatim, and the 'checkin_qty is required' remark is already encoded in the required array, so it adds little beyond 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?

The description names a specific verb ('check a quantity of a component back in') and pins it to the endpoint POST /components/{id}/checkin, so the resource and direction of the operation are unambiguous. It does not distinguish itself from the near-identical sibling snipeit_gen_componentsidcheckin or from snipeit_checkout_component, so it falls short of a 5.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is only implied by the verb 'check in' — the agent can infer this is the inverse of checkout, but there is no explicit statement of when to prefer this over snipeit_gen_componentsidcheckin or snipeit_raw_request. No prerequisites (e.g. that the component must currently be checked out to an asset) are stated.

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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