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chiku-wa

snipeit-mcp

by chiku-wa

assign_license_seat_to_asset

Automatically selects the smallest available license seat and assigns it to an asset.

Instructions

最も小さいSeat番号の空きシートを自動選択し、資産へ割り当てます。

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
asset_idYes
license_idYes
Behavior3/5

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

With no annotations provided, the description carries the burden of behavioral disclosure. It reveals the algorithmic behavior of selecting the smallest available seat, which is useful. However, it does not disclose edge cases such as what happens when no seats are available, whether existing assignments are overwritten, or 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?

The description is a single, concise sentence that is front-loaded with the core behavior. It contains no unnecessary words and is easy to parse.

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 mutation tool with no output schema, the description does not explain return values, error conditions, or prerequisites. It covers the core assignment logic but leaves out important contextual details that an agent would need to handle failures or verify success.

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 description coverage is 0%, and the description does not explain the parameters' meanings beyond their names. It mentions asset and seat but does not clarify the role of license_id or the optional note parameter. This is insufficient compensation for the lack of schema descriptions.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool's purpose: it automatically selects the available seat with the smallest seat number and assigns it to an asset. This specific behavior distinguishes it from the sibling tool assign_specific_license_seat_to_asset, which requires specifying a particular seat.

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?

The description implies when to use this tool (when you want automatic seat selection) but does not explicitly mention the alternative of assigning a specific seat or provide exclusions. The sibling name hints at the alternative, but the description itself lacks explicit usage guidance.

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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