Skip to main content
Glama
kaenozu

Browser AI Debate MCP

by kaenozu

browser_ai_debate

Run a structured multi-round debate between ChatGPT and Gemini in your browser. Get a conclusion with confidence score and rationale—no API keys required.

Instructions

Runs a structured multi-round debate between ChatGPT Web and Gemini Web using browser automation via CDP. Returns a structured conclusion with confidence score, rationale, and provider-level details. No API keys or external APIs are used.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contextNoAdditional context for the debate
questionYesThe question to debate between ChatGPT and Gemini
finalizerNoWhich provider makes the final decision
maxRoundsNoMaximum debate rounds (1-5)
timeoutMsNoTotal timeout in milliseconds
decisionCriteriaNoDecision criteria to evaluate conclusions against
includeTranscriptNoInclude full transcript in output
providerTimeoutMsNoPer-provider timeout in milliseconds

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
auditYes
roundsYes
statusYes
maxRoundsYes
providersYes
rationaleYes
agreementsYes
conclusionYes
confidenceYes
durationMsYes
nextActionsYes
totalRoundsYes
disagreementsYes
remainingRisksYes
partialExplanationNo
geminiConversationUrlNo
chatgptConversationUrlNo
Behavior3/5

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

The description explains the method (browser automation via CDP) and output, but lacks details on potential side effects, reliability, or dynamic behavior. With no annotations, more transparency would be helpful, but the core behavior is conveyed.

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?

Three sentences, each serving a clear purpose: what it does, what it returns, and a key feature. No wasted words, highly 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?

The description covers input, process, and output. An output schema exists. It could mention error handling or limitations, but overall it's sufficiently complete for a tool with well-documented parameters.

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%, so the description does not need to add parameter meaning. It focuses on the overall tool purpose. Baseline 3 is appropriate.

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 runs a structured multi-round debate between ChatGPT Web and Gemini Web using browser automation via CDP, with a specific output. No siblings exist, so no need for differentiation.

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

Usage Guidelines4/5

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

While no explicit alternatives are given due to no siblings, the description highlights that no API keys or external APIs are used, which is a key usage hint. It could benefit from more explicit when-to-use guidance, but it's clear enough.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/kaenozu/browser-ai-debate-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server