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washyu
by washyu

list_vms

Retrieve all virtual machines and containers from a specified device in your homelab infrastructure, supporting Docker and LXD platforms.

Instructions

List all VMs/containers on a device

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
device_idYesDatabase ID of the target device
platformsNoPlatforms to check (default: ['docker', 'lxd'])
Behavior2/5

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

No annotations are provided, so the description carries full burden. It states the action but lacks details on behavioral traits such as permissions needed, rate limits, output format, or whether it's a read-only operation. This is inadequate for a tool with potential complexity in listing resources.

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, efficient sentence that directly states the tool's purpose without any fluff. It is appropriately sized and front-loaded, making it easy for an agent to parse quickly.

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?

Given no annotations, no output schema, and a tool that likely returns a list of VMs/containers, the description is incomplete. It doesn't explain the return values, error conditions, or behavioral context, leaving significant gaps for the agent to infer.

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 input schema fully documents both parameters. The description adds no additional meaning beyond implying the tool lists resources based on a device, which is already covered by the schema. Baseline 3 is appropriate as the schema does the heavy lifting.

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 clearly states the verb ('List') and resource ('all VMs/containers on a device'), making the purpose specific and understandable. However, it does not explicitly differentiate from sibling tools like 'list_proxmox_resources' or 'get_vm_status', which might offer overlapping functionality, so it doesn't reach the highest score.

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

Usage Guidelines2/5

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

The description provides no guidance on when to use this tool versus alternatives. With siblings like 'list_proxmox_resources' and 'get_vm_status' present, there is no indication of context, prerequisites, or exclusions, leaving the agent to guess based on tool names alone.

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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