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Glama
ongjin
by ongjin

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
KUBECONFIGNoPath to the kubeconfig file for Kubernetes cluster access (defaults to ~/.kube/config if not set)

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
diagnose-podC

Analyzes pod status, logs, and events to identify root causes and suggest solutions

debug-crashloopC

Analyzes pods in CrashLoop state by examining exit codes, logs, and events to find the root cause

analyze-logsC

Detects error patterns in logs and suggests causes and solutions (Connection Refused, OOM, DB errors, etc.)

check-resourcesC

Compares pod CPU/Memory usage against limits to check for threshold violations

full-diagnosisC

Comprehensively analyzes cluster nodes, pods, and resources to evaluate health

check-eventsC

Queries events for specific resources or namespaces and analyzes Warning events

list-namespacesB

Lists all namespaces in the cluster

list-podsC

Lists all pods in a specific namespace

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.2/5.0

Scored across 8 tools

Disambiguation3/5

There is significant overlap between tools like diagnose-pod, debug-crashloop, and analyze-logs, which all involve analyzing pod issues with logs and events, potentially causing confusion. However, tools like list-namespaces and list-pods have distinct purposes, and the descriptions help clarify some boundaries, such as debug-crashloop focusing specifically on CrashLoop states.

Naming Consistency4/5

Most tools follow a consistent verb_noun pattern (e.g., analyze-logs, check-events, list-pods), with clear and readable names. The only minor deviation is full-diagnosis, which uses a hyphenated adjective-noun form instead of a verb, but overall the naming is predictable and easy to understand.

Tool Count5/5

With 8 tools, the count is well-scoped for a Kubernetes diagnostic server, covering a range of common troubleshooting tasks without being overwhelming. Each tool appears to serve a specific purpose in cluster analysis, making the set appropriately sized for its domain.

Completeness4/5

The tool set covers key diagnostic areas like logs, events, resources, and pod states, with comprehensive tools like full-diagnosis. A minor gap is the lack of tools for proactive monitoring or remediation actions (e.g., fixing issues), but agents can work around this by using the analysis tools to identify problems.

Maintenance

ActivityInactive
ResponsivenessNo issues