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HoziMurayama

MCP Rubber Duck

Official
by HoziMurayama

Duck Iteration

duck_iterate
Read-only

Iteratively refine AI responses by alternating between two models: one generates, the other critiques and improves, over multiple rounds.

Instructions

Iteratively refine a response between two ducks. One generates, the other critiques/improves, alternating for multiple rounds.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
modeYesrefine: each duck improves the previous response. critique-improve: alternates between critiquing and improving.
promptYesThe initial prompt/task to iterate on
providersYesExactly 2 provider names for the ping-pong iteration
iterationsNoNumber of iteration rounds (default: 3, max: 10)
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=true, and the description adds behavioral context about alternating rounds and the division of roles (generate vs critique/improve). This enriches understanding without contradicting annotations.

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 concise sentences, front-loaded with the core action and role structure. It contains no wasted words and is easy to parse.

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?

Given the tool's moderate complexity, full schema coverage, and annotations, the description is largely complete. It covers the essential iterative mechanic and role alternation, though it could mention what the final output looks like.

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 description coverage is 100%, so the lack of explicit parameter details in the description is acceptable. The schema fully documents all parameters, including enums, defaults, and constraints, so the description adds no extra semantic meaning.

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 refines responses via two ducks alternating roles, with one generating and the other critiquing/improving. This distinguishes it from sibling tools like duck_debate or duck_council, which involve different interaction patterns.

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 implies usage for iterative response refinement between two ducks but does not explicitly state when to choose this over alternatives such as duck_debate or duck_council. No exclusions or alternative comparisons are provided.

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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