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Duck Judge

duck_judge
Read-only

Evaluates and ranks multiple duck responses from duck_council using a designated judge duck with customizable criteria and persona.

Instructions

Have one duck evaluate and rank other ducks' responses. Use after duck_council to get a comparative evaluation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
responsesYesArray of duck responses to evaluate (from duck_council output)
judgeNoProvider name of the judge duck (optional, uses first available)
criteriaNoEvaluation criteria (default: ["accuracy", "completeness", "clarity"])
personaNoJudge persona (e.g., "senior engineer", "security expert")
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description adds no additional behavioral traits beyond stating it evaluates/ranks. No contradictions, but no extra value.

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?

Very concise single sentence that includes purpose and usage. Front-loaded and efficient.

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?

Coverage of parameters is complete. Missing output schema or description of return format is a minor gap, but overall context is sufficient for a simple evaluation tool.

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 coverage is 100% with descriptions for all parameters. The tool description does not add meaning beyond what the schema already provides, meeting baseline.

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 evaluates and ranks duck responses. It differentiates itself from siblings like duck_council by specifying it is used after that step.

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

Usage Guidelines5/5

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

Explicitly says 'Use after duck_council', giving clear guidance on when to invoke this tool versus alternatives.

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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