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Race Calendar F1

Recent F1 Changes

get_f1_updates
Read-onlyIdempotent

Get recent public schedule, standings, and result changes after an optional timestamp or cursor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum changes to return. Defaults to 20 and never exceeds 50.
sinceNoOnly return changes after this UTC timestamp.
cursorNoOpaque continuation cursor returned by an earlier updates request.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
sinceYes
nextCursorYes
generatedAtYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Changed6 schema fields changed
    • addedInput schema / $schema
      Added value: +"https://json-schema.org/draft/2020-12/schema"
    • addedInput schema / description
      Added value: +"Read a bounded page of recent public Formula 1 changes."
    • addedInput schema / properties / cursor / description
      Added value: +"Opaque continuation cursor returned by an earlier updates request."
    • addedInput schema / properties / limit / description
      Added value: +"Maximum changes to return. Defaults to 20 and never exceeds 50."
    • addedOutput schema / $schema
      Added value: +"https://json-schema.org/draft/2020-12/schema"
    • addedOutput schema / description
      Added value: +"Bounded cursor page of recent public Formula 1 schedule, standings, and result changes."
  2. Added

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior. The description adds value by specifying the type of data returned (schedule, standings, results) and the optional timestamp/cursor for incremental updates. No contradictions.

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, clear sentence with zero wasted words. Essential information is front-loaded.

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 read-only polling tool, the description covers the core functionality. An output schema exists, so return values are covered. Minor gap: could mention that cursor is for pagination, but schema already explains it.

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 coverage is 100%, so the schema already documents all three parameters. The description mentions 'optional timestamp or cursor' which mirrors the schema. No additional semantic meaning beyond what the schema provides.

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 verb 'Get' and specifies the resource: 'recent public schedule, standings, and result changes' with a condition 'after an optional timestamp or cursor.' It effectively distinguishes itself from sibling tools which focus on specific races, sessions, or historical data.

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?

The description implies usage for polling changes over time but does not explicitly mention when to use or avoid this tool relative to alternatives. No guidance on when not to use or how it differs from similar update tools.

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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