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Glama

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault
ANTHROPIC_API_KEYYesYour Anthropic API key. Only needed for the agent (strategy) server.

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
get_session_infoA

Load an F1 session and return its metadata and driver list.

Args: year: Season, 2018 or later (FastF1 coverage starts in 2018). circuit: Event or location name, e.g. "Austria", "Monza". session_type: "R" race, "Q" qualifying, "S" sprint, "FP1"/"FP2"/"FP3".

get_driver_stintsC

Per-stint compound, lap range and length for one driver.

Args: driver: Three-letter code, e.g. "VER", "NOR", "LEC".

get_degradationA

Fitted tyre degradation per stint for one driver.

Lap times are cleaned (safety car, VSC, in/out and inaccurate laps removed) and fuel-corrected before fitting. Each stint reports an R² and a trusted flag — a low-R² fit is describing noise, not degradation, and should not drive a decision.

compare_driversB

Stint-by-stint degradation comparison across several drivers.

Args: drivers: Three-letter codes, e.g. ["VER", "NOR", "LEC"].

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 4 tools

Disambiguation4/5

The tools are largely distinct: session loading, stint data, degradation modeling, and multi-driver comparison. The only potential overlap is between get_degradation and compare_drivers, but the single-vs-multi-driver distinction is clear from descriptions.

Naming Consistency4/5

Three tools follow the 'get_' verb-noun pattern, while compare_drivers uses a different verb without 'get'. This is a minor deviation, but the names remain predictable and readable overall.

Tool Count4/5

With 4 tools, the server is well-scoped for its tyre-focused purpose. It covers the essential workflow without bloat, though it is on the smaller side, leaving room for additional specialized tools.

Completeness4/5

The server covers the full tyre degradation analysis lifecycle: session loading, stint retrieval, degradation fitting, and cross-driver comparison. Minor gaps like raw lap times or session context tools exist, but they are not critical for the stated purpose.

Maintenance

ActivitySlowing
ResponsivenessNo issues