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Race Calendar F1

Search F1 History

search_f1_history
Read-onlyIdempotent

Search the Formula 1 history index for drivers, teams, circuits, and races with bounded, cursor-based results.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum results to return. Defaults to 10 and never exceeds 20.
queryYesDriver, team, circuit, or race text to find.
typesNoOptional unique entity types to include in the search.
cursorNoOpaque continuation cursor returned by an earlier history search.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYes
queryYes
typesYes
nextCursorYes
generatedAtYes
sourceUpdatedAtYes

TDQS

A3.8/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false. The description adds that results are 'bounded, cursor-based', which provides some behavioral context beyond the annotations, but does not disclose details like default sorting or pagination limits beyond the schema.

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, efficient sentence that covers the key aspects without unnecessary words. It is front-loaded with the main purpose and succinctly includes scope and result mechanism.

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?

Given the tool is a search with cursor-based pagination and four parameters, the description is fairly complete. The presence of an output schema reduces the need to describe return values. However, it lacks details on search behavior (e.g., substring matching, case sensitivity) and what the cursor represents, though these are minor.

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?

All parameters have schema descriptions (100% coverage), so the baseline is 3. The description does not add significant additional meaning beyond what the schema already provides; it references 'bounded' and 'cursor-based' but these are also reflected in the parameter descriptions.

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 'Search' and the resource 'Formula 1 history index', listing specific entity types (drivers, teams, circuits, races). This distinguishes it from sibling tools which are all 'get_*' or 'compare' operations.

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 searching across multiple entity types and mentions 'bounded, cursor-based results', but does not explicitly state when to use it versus alternatives. No exclusions or when-not-to-use guidance is provided.

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.

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