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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": false
}
prompts
{
  "listChanged": false
}
resources
{
  "subscribe": false,
  "listChanged": false
}
experimental
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
create_prompt_basisA

Measure intent across 12 philosophical dimensions and return a construction basis.

Use this before constructing any prompt where dimensional precision, philosophical coherence, or systematic completeness matters.

Provide either 'intent' (natural language) or 'coordinate' (JSON object with 12 faces, each having x, y, weight).

Output modes (mutually exclusive, focused takes priority):

  • Default: full output (~50KB) with all pipeline data

  • compact=true: summary fields only (~2KB)

  • focused=true: guidance-centric output (~500 bytes) with dominant dimensions, gaps, resonance, and coherence — what a prompt engineer needs

explore_spaceC

Explore the philosophical manifold. Operations: list_faces, list_constructs, get_construct, get_neighborhood, find_path, get_spoke, stress_test, triangulate.

extend_schemaC

Add constructs or relations to the graph. Contradiction detection is automatic.

Operations: add_construct, add_relation.

interpret_basisA

Interpret a construction basis produced by create_prompt_basis.

Takes the JSON output from create_prompt_basis and returns a plain-language interpretation of the philosophical measurement. Extracts the guidance section and formats it as readable text with dominant dimensions, gaps, and strongest resonance.

Prompts

Interactive templates invoked by user choice

NameDescription
orientUnderstand the philosophical manifold before using it.
build_construction_basisBuild a complete construction basis from an intent.
compare_positionsCompare two intents dimensionally.
resolve_and_constructBuild a basis and resolve all tensions.

Resources

Contextual data attached and managed by the client

NameDescription
axiom_manifestThe 12 philosophical faces with core questions, sub-dimensions, and action guidance.
schema_manifestCurrent state of the graph — node/edge counts by type.
coordinate_schemaSchema for a valid coordinate object.
examplesExample intents with interpretations to demonstrate engine usage.

TDQS

A3.5/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a distinct purpose: create measures intent, explore navigates the manifold, extend modifies the graph, interpret explains results. No overlap in functionality.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (create_prompt_basis, explore_space, extend_schema, interpret_basis), making it easy to predict tool roles.

Tool Count5/5

Four tools is an ideal number for a specialized philosophical engine, covering core operations without unnecessary bloat.

Completeness4/5

The toolkit covers creation, exploration, extension, and interpretation. The only minor gap is the lack of a deletion or reset tool, but this is acceptable for a focused engine.

Maintenance

ActivityInactive
ResponsivenessNo issues