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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
random_integerA

Generate a random integer between min and max (inclusive)

random_floatA

Generate a random floating-point number between min and max

random_choiceA

Randomly select one item from an array of options

random_sampleA

Randomly select multiple unique items from an array (without replacement)

random_shuffleA

Return a shuffled copy of the input array

random_uuidA

Generate a random UUID v4

random_bytesB

Generate random bytes

flip_coinC

Flip a coin (or multiple coins)

roll_diceC

Roll dice with specified number of sides

random_normalA

Generate a random number from a normal distribution

random_weighted_choiceA

Select an option based on weighted probabilities

random_passwordB

Generate a secure random password

helpA

Get comprehensive documentation for all random functions

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.8/5.0

Scored across 13 tools

Disambiguation5/5

Each tool has a clearly distinct purpose, covering different random distributions, selection methods, and output types. While random_choice, random_sample, and random_weighted_choice all involve selecting from arrays, their behaviors are well-differentiated by descriptions and parameters.

Naming Consistency4/5

Most tools follow the random_ prefix pattern, but flip_coin, roll_dice, and help deviate. The deviations are intuitive and still readable, but the naming is not fully uniform.

Tool Count5/5

13 tools is well-scoped for a random utility server, covering common categories like number generation, selection, shuffling, bytes, UUIDs, and passwords without unnecessary overlap or bloat.

Completeness5/5

The tool set is comprehensive for its domain, including uniform and normal distributions, weighted and non-weighted selections, sampling, shuffling, byte generation, passwords, and simple helpers like coin flip and dice roll. No major gaps are evident.

Maintenance

ActivityMaintained
ResponsivenessNo issues