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AlgoChains

AlgoChains MCP Server

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by AlgoChains

invoke_moltbook_debate

Read-onlyIdempotent

Run a multi-agent bull/bear debate on a trading symbol to validate trade direction before execution. Returns consensus, confidence, and agent reasoning without placing orders.

Instructions

Trigger a Moltbook bull/bear multi-agent debate for a trading signal. Shadow mode — does NOT place orders. Returns consensus direction, confidence, agreement %, and per-agent reasoning. Use before significant trades for multi-agent validation.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
regimeNoMarket regime (optional, fetched from OpenClaw if omitted)
symbolYesTrading symbol e.g. MNQ, CL, ES
directionYes
confidenceYesBot confidence score 0-100
trigger_typeNomcp_manual
Behavior4/5

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

Annotations indicate read-only, idempotent, non-destructive. Description adds 'Shadow mode — does NOT place orders' and specifies return, providing useful context beyond 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?

Three sentences, front-loaded with purpose, no filler. Efficiently conveys essential information.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

Despite no output schema, description explains return values. Annotations present. All necessary behavioral and usage context is provided.

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

Parameters4/5

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

Description adds examples for symbol, range for confidence, and notes regime is optional with fallback. However, trigger_type parameter is undocumented. Overall, 60% schema coverage is supplemented well.

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 triggers a multi-agent debate for trading signals, specifies it is shadow mode (no orders), and lists return values. It differentiates from order-placing tools.

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?

Explicitly advises use before significant trades for validation. No explicit when-not-to-use or alternatives, but context is clear.

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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