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Flowix Sim Raicing Race Engineer

get_leaderboards

Read-onlyIdempotent

Fetches personal best or overall community leaderboard records from the Flowix server (per track, or per car when track_id is given), including lap_id and track_id values.

Input Schema

NameRequiredDescriptionDefault
tabNopersonal (default) or overall community records
pageNoPage number (defaults to 1)
game_idNoOptional UUID of the game (defaults to the most used game)
track_idNoOptional UUID of a track; lists records per car on that track

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior3/5

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

Annotations already establish readOnly, idempotent, non-destructive, closed-world behavior, so the safety profile is covered. The description adds useful context — that data is fetched from a remote Flowix server and that results are grouped per track or per car depending on track_id, and that lap_id/track_id appear in results. It says nothing about ordering, result size, or pagination behavior beyond what the schema states.

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?

One dense sentence that front-loads the verb and resource, then layers the mode and grouping qualifiers. Nothing is wasted, though the parenthetical about track_id is slightly awkward and the trailing "including lap_id and track_id values" is a partial duplication of the schema's identifiers.

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?

With four optional parameters, no output schema, and full annotation coverage, the description covers the main source of ambiguity — what changes when track_id is supplied — and hints at returned fields. Missing are details on result ordering, page size, and what the default 'most used game' means in practice, which keeps it short of complete.

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%, so every parameter is already documented, and the description's note about track_id changing grouping largely restates the schema's own wording. The tab distinction (personal vs overall) is echoed rather than expanded, so the description adds little meaning beyond the structured fields — baseline 3 applies.

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?

The description gives a specific verb and resource ("Fetches ... leaderboard records") and names the two modes (personal best vs overall community) plus the per-track/per-car grouping. It does not explicitly contrast with the sibling tools, but those (sessions, laps, coaching) occupy clearly different domains, so the purpose is unambiguous.

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 implied rather than stated: the reader can infer that 'personal' returns your own bests and 'overall' returns community records, and that supplying track_id switches to per-car listing. There is no explicit when-to-use/when-not guidance and no named alternative, though the sibling set offers no real competing leaderboard 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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