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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
HCP_TOKENNoBearer token for ROSA HCP cluster
ARO_API_URLNoAPI URL of the ARO cluster
HCP_API_URLNoAPI URL of the ROSA HCP cluster
ARO_PASSWORDNoPassword for ARO cluster
ARO_USERNAMENoUsername for ARO cluster
HCP_PASSWORDNoPassword for ROSA HCP cluster
HCP_USERNAMENoUsername for ROSA HCP cluster
ARO_CLUSTER_NAMENoName of the ARO cluster
HCP_CLUSTER_NAMENoName of the ROSA HCP cluster

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
list_clustersA

List all available OpenShift clusters

get_cluster_healthA

Get overall health status of an OpenShift cluster including nodes, operators, and critical workloads

get_nodesB

List all nodes in the cluster with status and resource information

get_podsB

List pods in a namespace with their status

get_failing_podsA

Get pods that are not in Running state (CrashLoopBackOff, Error, Pending, etc.)

get_eventsB

Get recent Kubernetes events for troubleshooting

diagnose_crashloopB

Diagnose a pod in CrashLoopBackOff state and provide remediation suggestions

get_storage_infoC

Get storage information including PVCs and their status

get_cluster_operatorsC

Get status of OpenShift cluster operators

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.6/5.0

Scored across 9 tools

Disambiguation4/5

Tools have distinct purposes, with slight overlap between get_pods and get_failing_pods, but descriptions clearly differentiate them. Others like diagnose_crashloop and get_cluster_health are distinct.

Naming Consistency5/5

All tools follow a consistent verb_noun pattern (diagnose_, get_, list_), with clear and predictable naming.

Tool Count5/5

With 9 tools, the set is well-scoped for an SRE diagnosis and monitoring tool, covering essential operations without bloat.

Completeness4/5

Covers key diagnosis tasks (health, pods, nodes, events, storage, crash loops). Missing log retrieval or resource updates, but fits a focused diagnostic scope.

Maintenance

ActivityInactive
ResponsivenessNo issues