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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
deploy_gpu_nodeA

Provision real GPU compute on Kilawatt Cloud. Charges the caller's Kilawatt wallet and starts an actual machine. Set dry_run to true to price the run and check balance, spend caps, rate limits and concurrency without provisioning or charging anything.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.1/5.0

Scored across 1 tool

Disambiguation5/5

There is only one tool, deploy_gpu_node, so there is no possibility of confusing it with another tool. Its purpose is clearly provisioning GPU compute on Kilawatt Cloud.

Naming Consistency5/5

The single tool name deploy_gpu_node uses a clear snake_case verb_noun pattern. With only one tool, there is no inconsistency across the set.

Tool Count3/5

A single tool is borderline thin for a cloud provisioning server, even though the tool itself is substantial. The rubric treats 1-2 tools as borderline, so it is not clearly well-scoped or clearly mismatched.

Completeness2/5

The surface only covers provisioning/deployment via deploy_gpu_node. There are no tools to list, inspect, update, stop, or terminate existing GPU nodes, leaving significant lifecycle gaps for agents managing real infrastructure.

Maintenance

ActivityMaintained
ResponsivenessNo issues