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AlgoVaultLabs

crypto-quant-signal-mcp

scan_funding_arb

Read-only

Scan and rank cross-venue funding rate arbitrage opportunities across crypto perpetual futures, showing spreads and BUY/SELL/HOLD verdicts for each pair.

Instructions

Ranked cross-venue funding arbitrage across major crypto perpetual futures venues — funding rate spreads, long one venue short another, as a BUY SELL HOLD composite verdict per pair. AI trading signal for crypto quant and Claude trading agents. Trade call via get_trade_call, market regime via get_market_regime. On-chain verified merkle anchor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMax ranked results, e.g. 5 (free tier cap). Crypto quant AI trading signal.
minSpreadBpsNoMinimum funding rate spread in bps. Cross-venue multi-exchange crypto signal.
Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false. The description adds meaningful context: outputs are ranked, include a composite verdict, and are 'on-chain verified merkle anchor' – enriching the behavioral picture beyond the annotations without contradiction.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is only three sentences with the core purpose front-loaded. The second sentence ('AI trading signal...') is somewhat promotional, but the overall structure is efficient and no essential details are buried.

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?

For a tool with no output schema, the description gives a reasonable sense of what is returned (ranked pairs, spread, separate verdict, merkle anchor). It could be more explicit about output fields, but given the simple params and annotations, it is sufficiently complete.

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 descriptions cover both parameters (limit, minSpreadBps) with defaults and ranges (100% coverage). The description does not add further parameter-level meaning, so the baseline of 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 the tool scans cross-venue funding arbitrage and returns ranked per-pair spreads and BUY/SELL/HOLD verdicts. The specific verb 'scan' and resource 'funding arbitrage' distinguish it from siblings like scan_trade_calls and get_trade_call.

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?

The description names related tools (get_trade_call, get_market_regime) providing useful alternatives for specific needs. However, it does not explicitly contrast with scan_trade_calls or mention when not to use this tool, falling just short of full guidance.

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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