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CoReason-AI

coreason_multi_agent_debate

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by CoReason-AI

coreason_multi_agent_debate

Dynamic multi agent debate MCP server

CI/CD PyPI PyPI - Python Version License Codecov Downloads Ruff Pre-commit

Getting Started

Prerequisites

  • Python 3.14+

  • uv

Installation

  1. Clone the repository:

    git clone https://github.com/CoReason-AI/coreason_multi_agent_debate.git
    cd coreason_multi_agent_debate
  2. Install dependencies:

    uv sync --all-extras --dev

Usage

  • Run the linter:

    uv run pre-commit run --all-files
  • Run the tests:

    uv run pytest

Available Tools

1 tool
multiagentdebateA

Structured multi‑persona debate tool.

Call sequence (typical):

  1. Each persona registers once with action:"register".

  2. Personas alternate action:"argue" (fresh point) or "rebut" (counter a targetAgentId).

  3. A special persona (or either side) issues action:"judge" with a verdict text (first line should be "pro", "con", or "inconclusive").

  4. Set needsMoreRounds:false only when the debate is finished and a verdict stands.

Parameters:

  • agentId (string) : "pro", "con", "judge", or any custom ID

  • round (int ≥1) : Debate round number

  • action (string) : "register" | "argue" | "rebut" | "judge"

  • content (string, optional) : Argument text or verdict

  • targetAgentId (string opt.) : Agent being rebutted (only for action:"rebut")

  • needsMoreRounds (boolean) : True if additional debate rounds desired

ParametersJSON Schema
NameRequiredDescriptionDefault
roundYes
actionYes
agentIdYes
contentNo
targetAgentIdNo
needsMoreRoundsYes

TDQS

A4.9/5.0
Behavior5/5

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

With no annotations provided, the description fully discloses the expected behavior: each persona registers once, alternates between argue/rebut, and a judge issues a verdict. It also clarifies the verdict format and termination condition, ensuring transparency about the tool's protocol.

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 well-structured with a numbered list and bullet points, making it easy to follow. Every sentence adds value without redundancy, achieving high conciseness while covering all necessary details.

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?

The description covers the protocol, parameter roles, and termination condition comprehensively. However, it does not mention what the tool returns or any output format, which could be helpful for an agent to interpret results. This minor gap prevents a perfect score.

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

Parameters5/5

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

The description adds significant meaning beyond the input schema, explaining each parameter's purpose, constraints (e.g., round >=1, action enum), and context (e.g., targetAgentId only for rebut). It also describes the special formatting for judge verdicts, compensating for the 0% schema coverage.

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 it is a 'Structured multi‑persona debate tool' and explains the primary purpose and flow of the tool. It specifies the actions (register, argue, rebut, judge) and their sequence, making the purpose distinct and comprehensible.

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?

The description provides a detailed call sequence with steps for each persona, including when to register, argue, rebut, and judge. It explains the verdict format and when to set needsMoreRounds to false, offering clear guidance on proper usage.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 1 tool updatev0.1.7
    • First observedmultiagentdebate

TDQS

A4.8/5.0
Disambiguation5/5

Only one tool exists, so there is no possibility of confusion between tools. The tool's purpose is clearly defined.

Naming Consistency5/5

The single tool name 'multiagentdebate' is descriptive and uses consistent camelCase. There are no naming conflicts to evaluate.

Tool Count3/5

With just one tool, the server is minimal. While the tool is comprehensive for debates, a single tool feels slightly thin for typical MCP servers, but it is borderline acceptable for a niche function.

Completeness5/5

The tool covers the full debate lifecycle: registration, argument, rebuttal, and judging. All necessary actions are included, with no obvious gaps for the intended domain.

Maintenance

ActivityStale
ResponsivenessSyncing

Resources

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