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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
{
  "listChanged": true
}
resources
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
spine_set_contextA

Tell the Spine what you are currently working on. This re-routes which tools are visible to you based on your current task.

spine_recallA

Recall cached results from previous tool calls. Use this to check what a tool returned earlier without re-calling it, especially if that tool is no longer in your active tool set.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A4.2/5.0

Scored across 2 tools

Disambiguation5/5

spine_set_context and spine_recall have completely distinct roles: one writes/updates the current work context and changes tool visibility, the other reads cached results from prior calls. There is no overlap or plausible selection confusion.

Naming Consistency5/5

Both tool names follow the same spine_<verb> pattern and use snake_case. The verbs set_context and recall are clear and parallel, so an agent can predict tool naming.

Tool Count4/5

At two tools, the server is below the typical 3-15 tool range, but the scope is narrow and each tool serves one essential function: updating context and recalling cached results. The count is slightly under but still reasonable for its purpose.

Completeness4/5

The server covers the core context-setting and cache-recall workflows without obvious dead ends. Minor gaps exist (no explicit clear-context or clear-cache operation), but set_context can overwrite context and recall covers the main retrieval need.

Maintenance

ActivityInactive
ResponsivenessUnresponsive