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Sentinel-One

Purple AI MCP Server

Official
by Sentinel-One

list_inventory_items

List SentinelOne managed assets including computers, servers, cloud resources, and network-discovered devices with pagination and optional surface filtering.

Instructions

List managed assets in SentinelOne with pagination and optional filtering.

Use this tool to browse SentinelOne managed assets including computers, servers, workstations, cloud resources, and network-discovered devices.

Args: limit: Number of items to retrieve (1-1000, default: 50). skip: Number of items to skip for pagination (default: 0). surface: Optional surface filter: - "ENDPOINT": Endpoint assets (agents, workstations, servers, computers) - "CLOUD": Cloud resources (AWS, Azure, GCP) - "IDENTITY": Identity entities (AD, Entra ID) - "NETWORK_DISCOVERY": Network-discovered devices (Ranger)

Returns: Paginated list of inventory items in JSON format with pagination info.

Raises: ValueError: If parameters are invalid. InventoryAuthenticationError: If authentication fails. InventoryNetworkError: If network operation fails. InventoryAPIError: If the API returns an error. InventoryClientError: For other client-level errors.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
skipNo
surfaceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations provided, so description carries full burden. Discloses pagination behavior (limit/skip), optional filtering, return format (JSON with pagination info), and all possible exceptions (ValueError, InventoryAuthenticationError, etc.).

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?

Well-structured with brief intro, Args section, Returns, and Raises. No redundant sentences, every sentence adds value. Front-loaded with purpose.

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

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Tool has only 3 simple parameters, output schema exists (not shown but referenced). Description covers pagination, filtering, error handling, and return format. Complete for selecting and invoking.

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

Parameters5/5

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

Schema description coverage is 0%, so description must compensate. Explains limit (1-1000, default 50), skip (default 0), and surface with all valid enum values and their meanings. Adds meaning beyond schema.

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?

Description clearly states 'List managed assets in SentinelOne' with pagination and filtering. Distinguishes from siblings like get_inventory_item (specific item) and search_inventory_items (search vs list).

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?

Explicitly says 'Use this tool to browse SentinelOne managed assets' and lists surface filter options. Implicitly distinguishes from search tools, but no explicit when-not-to-use or alternative naming.

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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