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DanielTomaro13

sportsdata-mcp

openf1_race_control

Access official race-control messages including flags, safety cars, incidents, and penalties to monitor race events and conditions.

Instructions

Race-control messages — flags, safety cars, incidents, investigations, penalties — the official message feed.

Returns: [{date, category, flag, scope, sector, lap_number, driver_number, message, session_key}] (top-level array)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
flagNo
categoryNo
lap_numberNo
meeting_keyNo
session_keyNo
driver_numberNo
Behavior2/5

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

No annotations are provided, so the description must carry the full burden. It discloses the return format but omits behavioral traits like ordering, pagination, rate limits, idempotency, or whether the data is real-time. This lack of critical operational context hinders correct invocation.

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-loading the core purpose and immediately following with the return structure. Every word earns its place, with no redundancy or fluff.

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

Completeness2/5

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

Given the tool has six optional parameters and no output schema, the description is insufficient. It does not explain how parameters filter results, default behavior, ordering, or error conditions. The return format is shown but not contextualized, leaving significant gaps for a data retrieval tool.

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

Parameters2/5

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

Schema description coverage is 0%, and the description does not explain any of the six parameters (flag, category, lap_number, meeting_key, session_key, driver_number). While parameter names are somewhat self-explanatory, the description adds no semantic value beyond the schema, failing to compensate for the missing documentation.

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 returns race-control messages including flags, safety cars, incidents, investigations, and penalties. It uses a specific verb (returns) and resource (race control messages), and distinguishes itself from sibling tools like openf1_laps or openf1_car_data by focusing solely on the official message feed.

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?

No guidance is provided on when to use this tool versus alternatives (e.g., openf1_laps for lap data). There is no mention of prerequisites, context, or exclusions, leaving the agent without direction on selection.

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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