Skip to main content
Glama
AIops-tools

fabric-aiops

device_inventory

Fetch device inventory from a Meraki organization, filter by model family, and return per-family device counts.

Instructions

[READ] Org device inventory, optionally filtered by model family.

Buckets devices by Meraki model prefix (MX security appliance, MS switch, MR
wireless AP, MV camera, MG cellular gateway) and returns per-family counts.

Args:
    org_id: Meraki organization id; omit to use the target's default org.
    model: Model family/prefix to filter (e.g. 'MS', 'MR46'); omit for all.
    limit: Max rows in the returned list (default 500). The result carries
        'returned'/'limit'/'truncated'; re-run with a higher limit when
        'truncated' is true rather than treating the list as complete.
    target: Target name from config; omit for the default.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNo
modelNo
org_idNo
targetNo
Behavior5/5

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

No annotations are provided, so the description must fully convey behavior. It starts with '[READ]' indicating read-only operation, explains pagination with 'truncated' field, and describes the returned data structure. This provides comprehensive transparency.

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: a one-line summary, followed by a clear 'Args' list for each parameter. Every sentence adds value, and the structure is front-loaded with the main 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?

The tool has 4 parameters, no output schema, and no annotations. The description covers all necessary aspects: what the tool does, how parameters work, pagination details, and organization context. It is complete for an inventory listing tool.

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?

With 0% schema description coverage, all four parameters are explained in the 'Args' section, including defaults, effects (e.g., filtering by model prefix), and special handling (e.g., re-running with higher limit). This fully compensates for the missing 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 reads the organization's device inventory with optional filtering by model family. It distinguishes from siblings like device_status and client_get by specifying it returns per-family counts of devices bucketed by Meraki model prefix.

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 provides detailed parameter guidance, especially for 'limit' (pagination behavior with 'truncated' flag). It also explains optional parameters like org_id and target. However, it does not explicitly contrast with alternatives among siblings, though the purpose is sufficiently distinct.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/AIops-tools/Fabric-AIops'

If you have feedback or need assistance with the MCP directory API, please join our Discord server