stack-guardian
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| STACK_GUARDIAN_NODES | Yes | Path to the nodes JSON file |
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
| Capability | Details |
|---|---|
| tools | {} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| stack_healthB | Graded health findings (FAIL/WARN/INFO/OK) for the AI stack's nodes, with what to try. |
| stack_snapshotA | The raw snapshot the checks read: Ollama endpoints, loaded models, GPUs, tailnet. |
| explainB | What a finding code means, what to try, and what evidence would settle it. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 3 tools
stack_health and stack_snapshot are clearly distinct (graded findings vs raw data), but stack_health and explain overlap because both mention 'what to try.' An agent could reasonably confuse them when seeking details about a specific finding, though descriptions provide some guidance.
Two tools follow a stack_<noun> pattern while explain is a bare verb, mixing noun-phrase and verb naming conventions. The names are readable and snake_case throughout, but the inconsistent pattern prevents a higher score.
Three tools is on the low end but appropriate for a focused diagnostics server: one to report health, one to expose raw evidence, and one to explain codes. Each earns its place, though the surface is lean.
The core diagnostic loop is covered: health findings, raw snapshot evidence, and code explanations. Minor gaps exist around historical trends and remediation actions, but agents can work around these for a read-only guardian.