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DanielTomaro13

sportsdata-mcp

openf1_championship_drivers

Fetch driver championship points and positions before and after a specified race session.

Instructions

Drivers' championship standings around a race — points and position before/after the session.

Returns: [{driver_number, position_start, position_current, points_start, points_current, session_key}] (top-level array)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
meeting_keyNo
session_keyYes
driver_numberNo
Behavior3/5

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

With no annotations provided, the description carries the full burden. It explicitly states the return format (top-level array with specific fields), indicating it is a read-only query that retrieves data. However, it does not disclose behavior for invalid inputs, data coverage limits, or any other side effects. The transparency is adequate but not exhaustive.

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 extremely concise: two sentences covering purpose and output format. No redundant or extraneous information. The structure is logical (subject then result). Every sentence serves a clear purpose.

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 3 parameters (1 required) and no output schema, the description should provide enough context to use the tool correctly. It explains the output but leaves the parameters and their roles unexplained, making it incomplete. A user would struggle to understand how to filter by driver_number or what meeting_key is for.

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

Parameters1/5

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

Schema coverage is 0%, so the description must explain parameters. It does not: it only mentions session_key in the output, not as a required input. There is no explanation of meeting_key or driver_number, leaving the user to infer their meaning. This fails to add value beyond the schema.

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

Purpose4/5

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

The description clearly states the tool provides drivers' championship standings around a race, including points and position before/after the session. This verb and resource are specific, distinguishing it from sibling tools like openf1_championship_teams. However, it could be more precise about being tied to a session (required param is session_key, not necessarily a race).

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?

There is no guidance on when to use this tool versus alternatives such as openf1_championship_teams or openf1_drivers. No context on prerequisites, exclusions, or when not to use it. The description only implies its purpose without any comparative direction.

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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