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Race Calendar F1

F1 Season Schedule

get_f1_season_schedule
Read-onlyIdempotent

Get the verified public Formula 1 schedule for a season, including UTC session times, freshness, results, and canonical links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYesFormula 1 season year.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
racesYes
sourceYes
raceCountYes
sourceUrlYes
staleAfterYes
generatedAtYes
canonicalUrlYes
lastVerifiedAtYes
refreshIntervalSecondsYes

TDQS

A4/5.0
Behavior4/5

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

Annotations already declare the tool as read-only and idempotent. The description adds valuable context about the data being 'verified public' and lists specific return elements (UTC times, freshness, results, links). This goes beyond annotations by describing content and quality.

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, well-structured sentence that front-loads the core action and immediately specifies what the tool returns. Every word is necessary, and there is no redundancy or verbosity.

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 tool with one parameter and an existing output schema, the description covers the key return aspects. However, given the sibling tools, a brief note on when to use this vs. others would make it more complete. The output schema compensates for missing return format details.

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% for the single 'year' parameter, with a clear description in the schema. The tool description does not add new parameter-level information beyond confirming the schedule is 'for a season,' which is baseline acceptable.

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 action ('Get'), the resource ('verified public Formula 1 schedule for a season'), and the contents ('UTC session times, freshness, results, and canonical links'). It is distinct from sibling tools which focus on circuits, driver sessions, or specific events.

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 when the full season schedule is needed but provides no explicit guidance on when to use this tool instead of alternatives like get_f1_next_event or get_f1_race_weekend. With 14 siblings, more differentiation would improve score.

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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TDQS

A4.1/5.0
Disambiguation4/5

Most tools have clearly distinct purposes, but get_f1_race_classification and get_f1_session_results overlap in providing classifications, differing mainly in input method. get_f1_historical_race_result(s) are differentiated by count but could still be confused with race_classification.

Naming Consistency5/5

All tools follow a consistent verb_f1_noun snake_case pattern (get_f1_*, compare_f1_*, search_f1_*). The naming is predictable and uniform, with no mixed conventions or vague verbs.

Tool Count5/5

15 tools is within the ideal range and well-scoped for an F1 data server covering schedules, results, standings, circuits, live sessions, and history. Each tool serves a distinct aspect without bloat.

Completeness4/5

The surface covers core F1 data needs: schedules, race/weekend info, classifications, standings, live status, history search, and comparisons. Minor gaps exist like no direct driver profile tool, but search_f1_history fills this, and multi-race queries are handled via the plural results tool.

Resources