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Kerbside F1

Who can still win the title

championship_math
Read-onlyIdempotent

For the current season: each driver's and constructor's points, the most they can still score in the remaining races (today's points table, sprints included), and whether they can still win the title.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already establish readOnly, idempotent, closed-world behavior, so the description only needs to add scope. It does: it discloses that sprints are counted, that the points table is 'today's', and that the analysis is limited to remaining races and title possibility. It stops short of describing result shape or whether all drivers are returned versus only mathematical contenders.

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?

A single sentence with the season scope front-loaded and the three computed outputs enumerated. The parenthetical about sprints is purposeful, not filler. Slightly dense but no wasted words.

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 no parameters, no output schema, and annotations covering the safety profile, the description is close to self-sufficient: it names the scope and the three things returned. The remaining gap is the absence of any routing hint versus championship_standings, which matters for a season-analysis question.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The tool takes zero parameters, so there is nothing for the description to disambiguate and the baseline applies. No misleading parameter claims are made.

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 states a specific resource (driver's and constructor's points for the current season) and the derived computations it performs: maximum remaining score and title-contention status. An agent can tell this is an analysis tool, not a raw standings dump, though it never names the closest sibling (championship_standings) to sharpen the boundary.

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 only implied by the scope phrase 'For the current season' and by the mention of title scenarios. There is no explicit when-to-use statement and no disambiguation against championship_standings or what_if, both of which plausibly overlap with this 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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