Skip to main content
Glama
Surya96t

fastf1-mcp-server

get_schedule

Retrieve the F1 race calendar for a specified season, listing each event with round, race name, circuit, country, date, and time.

Instructions

Get the F1 race calendar for a season.

Data source: Ergast API (via FastF1) Coverage: 1950-present

Args: year: Season year (1950-present)

Returns: List of events with: round, raceName, circuitName, country, date, time (if available)

Example: get_schedule(2024) → [ {"round": 1, "raceName": "Bahrain Grand Prix", ...}, ... ]

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations, the description mentions the data source and historical coverage, but does not disclose potential side effects, auth requirements, or rate limits. It is partially transparent.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with sections (purpose, data source, args, returns, example) and is concise, though the example could be shorter. Every sentence adds value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a simple tool with one parameter and no output schema, the description provides sufficient context including return format and an example. It covers the main aspects needed to use the tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema has 0% coverage, but the description adds meaning by stating the parameter 'year' refers to the season year and constraining it to 1950-present, which goes beyond the raw schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool gets 'the F1 race calendar for a season', specifying both the action (get) and resource (schedule). It distinguishes from sibling tools like get_circuit_info or get_driver_info.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description does not provide guidance on when to use this tool versus alternatives, nor does it mention when not to use it or any prerequisites. It simply describes the tool's function.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/Surya96t/fastf1-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server