Skip to main content
Glama
DanielTomaro13

sportsdata-mcp

jolpicaf1_drivers

Read-onlyIdempotent

Retrieve Formula 1 drivers for a specific season or all-time list. Get driver IDs, names, nationalities, and birth dates to use in other sports data queries.

Instructions

Drivers — all-time, or the field for one season.

Returns: {MRData:{DriverTable:{season, Drivers:[{driverId, permanentNumber, code, givenName, familyName, dateOfBirth, nationality, url}]}}} — driverId (e.g. 'max_verstappen') is the key every other tool filters on

Example: 2024 field {"season": "2024", "format": "json"}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size (max 100).
formatNoLeave as json.json
offsetNoPage offset.
seasonYesSeason year (e.g. 2024), or 'current'. Required — part of the URL path.
Behavior4/5

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

Annotations already declare readOnly, openWorld, and idempotent hints, so the description only needs to add context beyond that. It does so by showing the exact return structure, explaining the significance of `driverId`, providing a request example, and noting auth is not needed. This goes beyond a minimal read-only disclosure, though it does not cover pagination behavior (which is left to the schema).

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

Conciseness5/5

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

The description is compact and well-structured: a brief scope statement, the return payload, a key clarification about `driverId`, an example, and an auth note. Every sentence contributes useful information without redundancy or filler.

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

Completeness5/5

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

Even though there is no output schema, the description provides the return structure explicitly. It covers auth, an example, and the critical relationship to other tools. With four parameters all documented in the schema and simple read-only semantics, this is a complete description for an agent to select and invoke the tool correctly.

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 covers all parameters with descriptions, so the baseline is 3. The description adds semantic value by explaining that `season` can mean 'all-time' or 'the field for one season' and by showing a concrete example with `season` and `format`. This clarifies the parameter's role beyond what the schema alone provides.

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 identifies the resource as 'Drivers' and specifies the dual scope: all-time or a single season's field. It also highlights the critical `driverId` field and its role as the key for other tools, distinguishing this from sibling F1 data tools like results or standings.

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

Usage Guidelines4/5

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

The description provides clear context on when to use this tool: to obtain driver details and the `driverId` that other tools filter on. It gives an explicit example of the `season` parameter. However, it does not explicitly name alternative tools or state when not to use this tool, so it earns a 4 rather than a 5.

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/DanielTomaro13/sportsdata-mcp'

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