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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
{}

Tools

Functions exposed to the LLM to take actions

NameDescription
thinkB

Add a thought to the cognitive graph using the current strategy. Supports sequential, dialectic, parallel, analogical, and abductive reasoning strategies. Each thought becomes a node in a DAG with confidence scoring, edges, and metadata.

evaluateC

Evaluate the thinking process: score confidence, generate critiques, and assess overall graph health. Provides detailed analysis of weak spots and strong reasoning paths.

metacogA

Metacognitive operations: view the current thinking state, get strategy suggestions, switch strategies, and receive guidance on improving reasoning. The system automatically detects stuck states and recommends actions.

graphC

Query and visualize the thought graph. View the DAG structure, find paths, inspect branches, and get statistics.

pruneB

Prune and optimize the thought graph. Remove dead ends, consolidate redundant branches, and optimize reasoning paths. Helps maintain graph efficiency during deep reasoning.

resetA

Reset the thought graph and metacognitive state. Start a fresh reasoning session.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.7/5.0

Scored across 6 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: evaluate analyzes thinking quality, graph visualizes structure, metacog manages reasoning strategy, prune optimizes the graph, reset clears state, and think adds new thoughts. The descriptions reinforce unique roles, making misselection unlikely.

Naming Consistency5/5

All tool names follow a consistent verb-based pattern (evaluate, graph, metacog, prune, reset, think) with no mixing of conventions. The names are concise, descriptive, and uniformly styled, making them predictable and easy to understand.

Tool Count5/5

With 6 tools, the set is well-scoped for a deep reasoning system, covering core operations like adding thoughts, analyzing, visualizing, optimizing, managing strategy, and resetting. Each tool earns its place without feeling excessive or insufficient for the domain.

Completeness5/5

The toolset provides complete coverage for deep reasoning workflows: think for creation, evaluate for analysis, graph for inspection, metacog for strategy, prune for optimization, and reset for cleanup. There are no obvious gaps, enabling agents to handle the full lifecycle of cognitive processing.

Maintenance

ActivityInactive
ResponsivenessNo issues