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Duck Vote

duck_vote
Read-only

Vote on options using multiple AI providers. Each vote includes reasoning, returning tally, confidence scores, and consensus level.

Instructions

Have multiple ducks vote on options with reasoning. Returns vote tally, confidence scores, and consensus level.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYesThe question to vote on (e.g., "Best approach for error handling?")
optionsYesThe options to vote on (2-10 options)
votersNoList of provider names to vote (optional, uses all if not specified)
require_reasoningNoRequire ducks to explain their vote (default: true)

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
questionYes
optionsYes
winnerYes
isTieYes
tallyYes
confidenceByOptionYes
votesYes
totalVotersYes
validVotesYes
consensusLevelYes
Behavior2/5

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

Annotations provide readOnlyHint and openWorldHint, which cover some behavioral aspects. The description adds return values but does not disclose potential side effects like API costs or network calls beyond what annotations imply.

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?

Single sentence that is clear and front-loaded, no unnecessary words.

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?

The description covers the basics but does not explain the voting process (e.g., how many ducks, aggregation logic), though the parameters provide relevant details. Output schema exists, so return value details are not required.

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 four parameters are fully described in the schema (coverage 100%), so the description adds no additional meaning beyond the schema.

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?

Description clearly states a voting action involving multiple 'ducks' on options with reasoning, which is specific and distinguishes from other duck tools like 'duck_debate' or 'duck_council'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

No explicit guidance on when to use this tool versus alternatives like 'duck_debate' or 'duck_council'. The description implies usage for consensus, but lacks exclusions or context.

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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