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Crawlora MCP

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formula1_json_awards

Fetch a Formula 1 season's four award labels and the absolute extension paths that return each award's per-round winners, using a four-digit season year.

Instructions

Formula 1 season awards from the JSON API. Returns one season's award dropdown: the four award labels and the absolute extension path that returns each award's per-round winners. The award values match formula1-json-season-award's award enum.

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>"
    },
    "name": "formula1_json_awards"
  }
}

Input Schema

NameRequiredDescriptionDefault
seasonYesFour-digit championship year, 1950 through next season example(2026)

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.20

TDQS

A3.5/5.0
Behavior3/5

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

No annotations are supplied, so the description carries the full burden; it does disclose the return shape (four labels plus absolute extension paths) and that it is a metadata/discovery response rather than the winners themselves, which is valuable. It says nothing about pagination, permissions, or limits, though as an unpaginated single-season lookup those gaps are modest.

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 short sentences, front-loaded with the resource and immediately followed by the return shape. The phrase 'from the JSON API' is mild filler, but nothing else is wasted.

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 one-parameter, no-output-schema lookup tool, the description covers what is returned and how it chains into a follow-up call. Absent an output schema, more detail on the exact structure of the extension paths would help, but an agent has enough to select and invoke it correctly.

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?

Schema description coverage is 100%, and the schema already documents the single season parameter including the four-digit year and the 1950-through-next-season range. The description adds no parameter semantics beyond that, so baseline 3 applies.

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 gives a specific verb and resource: it returns a season's award dropdown consisting of the four award labels plus the absolute extension path for each award's per-round winners. That is concrete enough for an agent to know exactly what comes back, and it gestures at the relationship to formula1-json-season-award via the shared award enum, though it does not explicitly contrast the two tools.

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 stated: by describing the output as discovery metadata (labels plus extension paths for per-round winners), it hints this is a first step before fetching the actual winners. There is no explicit when-to-use, when-not, or named alternative to call instead for the winner data.

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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