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jameshgordy

Snipe-IT MCP Server

by jameshgordy

manage_consumables

Destructive

Create, retrieve, list, update, and delete consumables in Snipe-IT. Manage consumable inventory with quantity, category, and location fields.

Instructions

Manage Snipe-IT consumables with CRUD operations.

This tool handles all basic consumable operations:

  • create: Create a new consumable (requires consumable_data with name, qty, and category_id)

  • get: Retrieve a single consumable by ID

  • list: List consumables with optional pagination and filtering

  • update: Update an existing consumable (requires consumable_id and consumable_data)

  • delete: Delete a consumable (requires consumable_id)

Returns: dict: Result of the operation including success status and data

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
sortNoField to sort by (for list action)
limitNoNumber of results to return (for list action)
orderNoSort order (for list action)
actionYesThe action to perform on consumables
offsetNoNumber of results to skip (for list action)
searchNoSearch query (for list action)
consumable_idNoConsumable ID (required for get, update, delete)
consumable_dataNoConsumable data (required for create, optional for update)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already indicate destructiveHint=true and readOnlyHint=false. The description adds per-action input requirements and notes the return shape (success status and data), which goes beyond the annotations without contradicting them.

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 concise and well-structured: a one-line summary followed by a scannable action list and a brief returns note. Every sentence adds relevant information without redundancy.

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 CRUD dispatcher with an output schema and rich input schema, the description adequately covers all actions, required fields, and result semantics. It could mention pagination/filtering parameters explicitly, but the schema already documents those, so the description is sufficiently complete.

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%, so the baseline is 3. The description adds value by specifying which parameters are required for each action (e.g., consumable_id for get/update/delete, consumable_data for create) and highlights key nested fields like name, qty, and category_id.

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 manages Snipe-IT consumables with a full CRUD operation set, and enumerates each action (create, get, list, update, delete). This distinguishes it from sibling resource managers by resource type and scope.

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

Usage Guidelines4/5

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

The description explicitly frames the tool as handling 'all basic consumable operations' and provides per-action requirements (e.g., create needs consumable_data with name, qty, category_id). It gives clear context for when to use each action, though it does not mention alternatives or exclusions.

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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