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condorcet

Finds the Condorcet winner from ranking ballots: a candidate who defeats every other in pairwise comparisons. Returns no winner if majority cycles exist.

Instructions

Condorcet winner over ranking ballots: beats every other candidate pairwise.

If the majority relation cycles (e.g. a>b>c>a) there is NO Condorcet winner: winners is empty, winner is null, and note says so. Errors if any ballot is not a ranking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
seedNo
profileYes
tie_breakNolexicographic

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
noteNo
ruleYes
scoresNo
winnerYes
rankingNo
winnersYes
tie_breakNolexicographic
Behavior4/5

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

No annotations provided, so the description carries the burden. It discloses error conditions (non-ranking ballots) and behavior in cycles (empty winners, null winner, note). This is sufficient behavioral context.

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 two sentences, front-loaded with the core purpose, no extraneous content. Every sentence adds value.

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

Completeness3/5

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

Given the complexity (Condorcet rule, cycles, error handling) and the presence of an output schema, the description covers the main points but lacks parameter explanations. It is adequate but not exhaustive.

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

Parameters2/5

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

With 0% schema description coverage, the description should explain all parameters. It only mentions that ballots must be rankings, but does not describe 'tie_break' or 'seed', leaving those unexplained.

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 tool computes the Condorcet winner from ranking ballots, with a specific verb and resource. It distinguishes itself from siblings like plurality or approval by specifying the voting method.

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 does not explicitly state when to use this tool over alternatives. It implies it only works with ranking ballots, but no direct comparison with sibling tools is given.

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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