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DanielTomaro13

sportsdata-mcp

jolpicaf1_circuits

Read-onlyIdempotent

Retrieve F1 circuit data for a season, including circuit ID, name, location, and coordinates.

Instructions

Circuits, with location and coordinates.

Returns: {MRData:{CircuitTable:{Circuits:[{circuitId, circuitName, Location:{lat, long, locality, country}, url}]}}}

Example: 2024 circuits {"season": "2024", "format": "json"}

Auth: none needed.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoPage size (max 100).
formatNoLeave as json.json
seasonYesSeason year, or 'current'. Required — part of the URL path.
Behavior3/5

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

Annotations already declare readOnlyHint, openWorldHint, and idempotentHint, covering the safety profile. The description adds the exact JSON return shape and states no authentication is required, which is useful. However, it does not disclose pagination behavior, error handling, or rate limits, leaving some behavioral uncertainty beyond what annotations provide.

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 compact—three short lines plus an example and an auth note. Every element contributes: the resource definition, return structure, a concrete example, and auth requirement. There is no redundant or filler content.

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

Completeness4/5

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

For a read-only, idempotent list endpoint with full schema coverage and an explicit return structure, the description is mostly sufficient. The main gap is the lack of usage context relative to sibling tools, but the example and output format provide adequate operational detail for a tool of this simplicity.

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 input schema already covers all three parameters (season, limit, format) with descriptions, defaults, and constraints, achieving 100% schema coverage. The description's example illustrates passing season and format but adds no semantic detail beyond what the schema provides, so the baseline of 3 is appropriate.

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 identifies the resource as 'Circuits' and states it includes location and coordinates, plus a full return structure. The example with season 2024 demonstrates the intended use of retrieving circuits for a season. However, the opening is a noun phrase without an explicit verb like 'lists' or 'gets', so it is clear but not fully explicit.

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 an example call but no guidance on when to use this tool over sibling F1 tools (e.g., jolpicaf1_races, jolpicaf1_drivers). It does not mention any exclusions or alternatives, so an agent receives no decision-making information about when this tool is the appropriate choice.

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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