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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
list_scenariosA

List supported synthetic fruit decision scenarios and explicit limits.

review_scenarioC

Run bounded local evidence qualification, returning a decision and trace.

explain_beliefC

Explain delayed or conflicting synthetic evidence with TWS-Belief.

review_episodeC

Review a synthetic fruit episode; cloud use is controlled by the host configuration.

review_simulation_episodeC

Audit an explicit FIRA simulation replay bundle; never authorize execution.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

C2.9/5.0

Scored across 5 tools

Disambiguation3/5

Three of the five tools (review_scenario, review_episode, review_simulation_episode) share the same 'review_*' verb and closely related semantics; descriptions differentiate them (local qualification vs. synthetic episode vs. FIRA replay audit), but the scenario-vs-episode boundary remains fuzzy and invites misselection. list_scenarios and explain_belief are clearly distinct.

Naming Consistency5/5

All five names follow a consistent snake_case verb_noun pattern (list_scenarios, review_scenario, explain_belief, review_episode, review_simulation_episode). No mixed conventions or casing deviations.

Tool Count5/5

Five tools is well within the sweet spot for a narrowly scoped decision-review server. Each tool maps to a distinct capability (enumeration, review, explanation, episode audit, simulation audit) and none appear redundant padding.

Completeness3/5

The surface covers enumeration, review, explanation, and replay auditing, but there is no tool to fetch or inspect a specific scenario/episode by identifier, nor to list available episodes or query belief state directly. These are notable gaps that could force agents into dead ends after listing.

Maintenance

ActivityMaintained
ResponsivenessNo issues