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Crawlora MCP

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by Crawlora-org
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JavaScript
Remote

formula1_json_season_award

Fetch Formula 1 season award data for a specified season and award, returning JSON with award text, tags, call-to-action, and per-round winners with classified times and driver/team references.

Instructions

One Formula 1 season award's rich JSON payload. Returns one season award extension payload exactly as the API sends it: the award text, call-to-action, article or video tags, and the per-round winner data with classified times, driver and team references. The award enum is the closed set the JSON API publishes; a season that predates an award is a valid empty data list.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "season": "<season>",
      "award": "<award>"
    },
    "name": "formula1_json_season_award"
  }
}

Input Schema

NameRequiredDescriptionDefault
awardYesAward: fastest-laps, pole-positions, fastest-pit-stops or driver-of-the-day
seasonYesFour-digit championship year example(2026)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.20

TDQS

A3.6/5.0
Behavior3/5

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

With no annotations and no output schema, the description carries the full burden and does add real value by enumerating the returned payload contents (award text, CTA, tags, per-round winners with classified times and driver/team references) and by flagging the empty-list case for pre-award seasons. It says nothing about authentication, rate limits, error behavior, or payload size, which are notable gaps for an unannotated tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

Three sentences, front-loaded with purpose, then payload contents, then the edge case — a sensible ordering. There is minor redundancy between 'rich JSON payload' and 'exactly as the API sends it', but no sentence is wasteful.

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 simple two-parameter read with no annotations and no output schema, the description supplies the return-field inventory and the empty-result semantics an agent needs to interpret output correctly. Only operational details (auth, limits, failure modes) are absent, which is a modest gap for a read-only lookup.

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 goes beyond it by clarifying that the award enum is a closed set published by the API and that a season predating an award yields a valid empty list rather than an error. That adds genuine interpretation value for both parameters' edge cases, though it adds nothing about season-range validity.

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 opens with a specific verb and resource ('Returns one season award extension payload') and qualifies it as the raw JSON variant ('rich JSON payload... exactly as the API sends it'), which lets an agent distinguish it from a formatted award listing. It does not explicitly name a sibling such as formula1_season_awards, so differentiation is inferred rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied rather than prescribed: the 'exactly as the API sends it' framing suggests this is the tool for raw/unprocessed payloads, but there is no explicit when-to-use, when-not-to-use, or named alternative. The empty-list note is a data caveat, not selection guidance.

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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