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copeland

Computes Copeland scores from ranked ballots: awards 1 point for each pairwise win and 0.5 for each tie, ensuring the Condorcet winner wins when one exists.

Instructions

Copeland over ranking ballots: +1 per pairwise win, +0.5 per pairwise tie.

Condorcet-consistent: a candidate that beats all others pairwise wins. 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
Behavior3/5

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

With no annotations, the description discloses the core algorithm and that it errors on non-ranking ballots. However, it does not describe tie-breaking behavior, output format, or other edge cases.

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 three short sentences, front-loading the algorithm and key property, with no redundant information.

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

Completeness2/5

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

Given the complexity of a voting rule tool with multiple parameters and an output schema, the description lacks details on return values, tie-breaking, and the seed parameter, leaving gaps for the agent.

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?

Schema description coverage is 0%, so the description must compensate. It only indirectly references the 'profile' parameter by mentioning ranking ballots, but ignores 'tie_break' and 'seed' entirely.

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 clearly states the tool computes Copeland scores from pairwise wins/ties and is Condorcet-consistent. It does not explicitly differentiate from sibling tools like 'condorcet', but the unique scoring mechanism is implied.

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?

It mentions Condorcet-consistent and that it only works with ranking ballots, but does not explicitly specify when to use this over alternatives like 'condorcet' or 'borda'. The error condition for non-ranking ballots provides some guidance.

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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