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Glama

list-machines

See which virtual machines are running on local or cloud targets, enabling quick inventory checks for fleet management.

Instructions

List machines on the target.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
targetNoWhich fleet to talk to. local is smolvm serve on this host; cloud is smol cloud at SMOL_CLOUD_URL.local

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
machinesYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

B3.4/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full disclosure burden. It only states that machines are listed and does not mention read-only behavior, authentication, connectivity, pagination, or any side effects.

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, front-loaded sentence with no filler. Every word contributes to identifying the operation and scope.

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 simple optional-parameter list operation with an output schema present and a well-documented parameter, the description is nearly sufficient. It lacks behavioral details, but the low complexity and rich schema make it mostly complete.

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%, and the target parameter is fully documented with its enum values and default. The description itself adds no extra parameter meaning beyond what the schema already provides.

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 uses a specific verb ('List') and resource ('machines') and identifies a scope ('on the target'). It is clearly distinct from siblings like get-machine, create-machine, and run-command.

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 gives no guidance about when to use this tool versus alternatives such as get-machine or machine-logs. There is no explicit when-to-use/when-not-to-use context, though the parameter schema explains the local/cloud distinction.

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