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lacausecrypto

Sports Hub MCP Server

f1_get_pit_stops

Get pit stop details for any F1 race since 2012. Provide season and round; optionally limit to a specific stop number or paginate results.

Instructions

Get pit stop data for a specific race. Can return all pit stops or a specific stop number. Data available from 2012 onwards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seasonYesSeason year (e.g. "2024")
roundYesRound number within the season
stopNoSpecific pit stop number (omit for all stops)
limitNoMaximum number of results to return (default 30, max 1000)
offsetNoNumber of results to skip for pagination
Behavior3/5

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

No annotations are provided, so the description must carry the behavioral disclosure burden. It mentions data availability (from 2012) and the optional stop parameter, but it does not disclose whether the operation is read-only, any side effects, pagination behavior (limit/offset), or response structure. Basic information is present, but missing details.

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 two sentences long, front-loaded with the core purpose, and contains no superfluous information. Every word adds value.

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

Completeness3/5

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

Given no output schema, the description should at least hint at the response structure or field details, but it only says 'pit stop data'. It also does not reinforce the required parameters (season, round) beyond the schema. The tool is relatively simple, so the description is adequate but not comprehensive.

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

Parameters3/5

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

Schema coverage is 100%, so the schema already documents each parameter. The description adds meaning for the 'stop' parameter ('Can return all pit stops or a specific stop number') and confirms season validity ('Data available from 2012 onwards'), but other parameters (limit, offset) are not elaborated beyond 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 identifies the tool's purpose: retrieving pit stop data for a specific race. It uses a specific verb ('Get') and resource ('pit stop data'), and its functionality (all stops or a specific stop number) distinguishes it from sibling tools like f1_get_lap_times or f1_get_qualifying.

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

Usage Guidelines3/5

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

The description implies usage for a specific race (requires season and round) and mentions data availability from 2012, but does not explicitly state when to use this tool versus alternatives, nor does it provide any exclusions or prerequisites beyond the required parameters.

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

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