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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
JEFIT_PASSWORDYesYour JEFit password
JEFIT_TIMEZONEYesTimezone offset format like -07:00 for PDT, -04:00 for EDT
JEFIT_USERNAMEYesYour JEFit username

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

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

NameDescription
list_workout_datesA

List all workout dates within a date range.

Args: start_date: Start date in YYYY-MM-DD format (required) end_date: End date in YYYY-MM-DD format (optional, defaults to today)

Returns: List of workout dates as strings in YYYY-MM-DD format

get_workout_infoB

Get detailed workout information for a specific date.

Args: date: Date in YYYY-MM-DD format

Returns: Markdown-formatted workout details including exercises, sets, reps, and weights

get_batch_workoutsB

Get detailed workout information for multiple dates in a single call.

Args: dates: List of dates in YYYY-MM-DD format

Returns: Markdown-formatted workout details for all requested dates

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

B3.4/5.0

Scored across 3 tools

Disambiguation5/5

Each tool has a clearly distinct purpose: get_batch_workouts retrieves multiple workouts at once, get_workout_info retrieves a single workout, and list_workout_dates lists dates without workout details. There is no overlap in functionality, making tool selection straightforward for an agent.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern (get_batch_workouts, get_workout_info, list_workout_dates) with clear, descriptive verbs and nouns. The naming is uniform and predictable throughout the set.

Tool Count3/5

With only 3 tools, the server feels thin for a fitness tracking domain, as it lacks operations like creating, updating, or deleting workouts. While the tools cover basic retrieval and listing, the count is borderline low for comprehensive agent workflows.

Completeness2/5

The tool set is severely incomplete for a fitness server, offering only read operations (get and list) with no ability to create, update, or delete workouts. This creates significant gaps that will limit agent functionality, as core lifecycle management is missing.