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lacausecrypto

Sports Hub MCP Server

f1_get_driver_standings

Retrieve Formula 1 World Drivers' Championship standings for a specific season. Use to get driver rankings and points.

Instructions

Get Formula 1 World Drivers' Championship standings for a given season.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seasonNoSeason year (e.g. "2024") or "current" (default: "current")
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 provided, the description carries full burden for behavioral disclosure. It does not mention pagination behavior, default parameter values, or any side effects (none expected). This is insufficient for a production tool.

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 a single, efficient sentence of 11 words. Every word adds value, and there is no redundant or verbose phrasing.

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?

For a simple tool with optional parameters and no output schema, the description covers the essential purpose but omits details about response content, pagination, and default values beyond what the schema provides. Adequate but not rich.

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?

The schema already describes all three parameters (season, limit, offset) with 100% coverage. The description adds no additional meaning beyond the schema, so baseline score of 3 applies.

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 action ('Get'), the resource ('Formula 1 World Drivers' Championship standings'), and the context ('for a given season'). It effectively distinguishes from sibling tools like f1_get_constructor_standings.

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 provides no guidance on when to use this tool versus alternatives, nor any prerequisites or limitations. Usage is only implied by the tool's name, which is insufficient for an AI agent to select between similar tools like f1_get_driver_results.

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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