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Crawlora MCP

Crawlora MCP

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by Crawlora-org
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JavaScript
Remote

formula1_json_event_tracker

Fetch current Formula 1 season context, meeting identity and dates, live-timing and replay base URLs, plus published race results as structured JSON.

Instructions

Formula 1 event tracker: current season context and live-timing source. Returns the event tracker payload the site's own front end reads: the current season context (season year, current or next meeting key, event and season state), the current meeting's identity and dates, the live-timing and static replay base URLs, and any published race results. This is the current-event surface; the URLs it names are not fetched by any route (live timing stays out of scope).

Tool call template

This tool declares no required parameters. Add optional parameters from the input schema as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {},
    "name": "formula1_json_event_tracker"
  }
}

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv1.17.20

TDQS

A3.8/5.0
Behavior4/5

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

With no annotations, the description carries the burden and does reasonably well: it discloses that the payload is the same one the site's front end reads (implying a read-only passthrough), and explicitly bounds scope by noting the named URLs are not fetched by any route and live timing stays out of scope. It does not state freshness/caching of 'current' data or whether results may be empty, which would complete the picture.

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?

Two sentences, front-loaded with the tool's identity and return contents, then a scope caveat. Dense but mostly earning its place; the parenthetical field list is long yet functional since no output schema exists.

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?

No output schema and no annotations, so the description must explain the return shape, which it does by enumerating the payload's components. Remaining gaps are minor: nothing about payload size, empty-result behavior when no results are published, or data freshness.

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?

Zero parameters, so there is no parameter meaning to convey; the baseline of 4 applies. The description correctly does not waste space on nonexistent inputs.

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?

States a concrete verb and resource: it 'returns the event tracker payload' containing current season context, the current meeting's identity and dates, live-timing/replay base URLs, and published race results. It also positions itself as 'the current-event surface', which helps separate it from the meetings/results siblings, though it never names an actual alternative tool.

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 only implied: an agent can infer this is the tool for 'what is the current season/meeting state', and the closing line about live timing being out of scope delineates a boundary. But there is no explicit when-to-use vs the many sibling tools (e.g. formula1_json_meetings, formula1_json_seasons, formula1_json_results), and no stated preconditions.

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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