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Race Calendar F1

Live F1 Session Status

get_f1_live_session
Read-onlyIdempotent

Get the latest explicitly timestamped status for the current or selected Formula 1 session. Returns unavailable rather than implying stale data is live.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearNoSeason to inspect. Defaults to the current UTC season.
meetingKeyNoOptional OpenF1 meeting key. Omit to discover the current live session.
sessionKeyNoOptional OpenF1 session key. Requires meetingKey when supplied.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
yearYes
stateYes
isLiveYes
endDateYes
messageYes
sourceUrlYes
startDateYes
meetingKeyYes
observedAtYes
sessionKeyYes
sessionKindYes
sessionNameYes
dataTimestampYes
dataDelaySecondsYes

TDQS

A4.3/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, and non-destructive behavior, so the description does not need to restate those. It adds valuable behavioral context beyond annotations by disclosing that the data is 'explicitly timestamped' and that the tool returns 'unavailable' rather than presenting stale data as live. This is a useful nuance for agent trust.

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 exactly two sentences, front-loaded with the verb and resource, and every clause adds value—the timestamped nature and the unavailable-vs-stale behavior are both essential. There is no wasted or redundant wording.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With a rich output schema, complete annotations, and full parameter descriptions, the description only needs to add the key behavioral nuance, which it does. The tool's complexity is low, and the description covers the live-status semantic fully so an agent can 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 each parameter already has clear descriptions (year, meetingKey, sessionKey). The description's mention of 'selected session' does not add new parameter-level detail beyond what the schema provides. Baseline 3 is appropriate since the schema handles semantics well.

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 uses a specific verb ('Get') and clearly identifies the resource (latest explicitly timestamped status for the current or selected Formula 1 session). It also distinguishes this tool from siblings by emphasizing 'explicitly timestamped' and 'unavailable rather than stale,' which differentiates it from historical result tools.

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

Usage Guidelines4/5

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

The description clearly sets the context: it is for live session status, with the ability to select a session by season, meeting key, or session key. It does not explicitly name alternative tools or provide when-not-to-use exclusions, but the phrase 'rather than implying stale data is live' gives clear usage expectations for a live-status tool.

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