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lacausecrypto

Sports Hub MCP Server

f1_get_lap_times

Retrieve lap times for any F1 race since 1996. Input the season and round, and optionally a lap number, to get detailed timing for all laps or a specific lap.

Instructions

Get lap times for a specific race. Can return all laps or a specific lap number. Data available from 1996 onwards.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seasonYesSeason year (e.g. "2024")
roundYesRound number within the season
lapNoSpecific lap number (omit for all laps)
limitNoMaximum number of results to return (default 30, max 1000)
offsetNoNumber of results to skip for pagination
Behavior2/5

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

With no annotations, the description carries full burden but only reveals that it can return all laps or a specific lap. It does not disclose pagination behavior, rate limits, required permissions, or what happens if no data is available. The limit and offset parameters are left unexplained.

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 with no filler. It front-loads the main action and includes a key qualifier (data availability). Every sentence earns its place.

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 the tool's moderate complexity (5 parameters, no output schema), the description covers the core purpose and one key parameter flexibility but omits what the returned data looks like. Without an output schema, the agent lacks information about the response structure, making it only minimally adequate.

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?

Schema coverage is 100%, so the baseline is 3. The description adds value by explaining the 'lap' parameter (all laps vs specific) and the 'season' parameter's data availability from 1996 onwards, beyond what the schema's parameter descriptions provide.

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 'Get lap times for a specific race', which is a specific verb and resource. The mention of returning all laps or a specific lap number distinguishes it from sibling tools like f1_get_race_results or f1_get_pit_stops. The data availability note adds clarity.

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 specify prerequisites or exclusions. Sibling tools like openf1_get_laps exist, and there is no mention of when to choose this over others.

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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