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AlgoVault — Crypto Quant Trade Calls

get_market_regime

Read-only

Returns the market regime — TRENDING_UP TRENDING_DOWN RANGING VOLATILE — with confidence and a strategy hint, for one crypto perpetual futures. Composite verdict: trend ranging + cross-venue funding rate. Read-only, live exchange APIs. Verified track record: get_track_record or performance://signal-performance; on-chain verified merkle anchor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinYesBase asset crypto signal, e.g. BTC ETH SOL signal. Crypto quant regime.
exchangeNoCrypto venue, e.g. Binance Bybit OKX Bitget Hyperliquid. Multi-exchange.HL
timeframeNoCandle timeframe, e.g. 1h 4h 1d. Buy sell hold AI trading signal context.4h

TDQS

A3.7/5.0
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, and non-destructive behavior; the description reinforces this with 'Read-only, live exchange APIs' and adds methodology context via 'Composite verdict: trend ranging + cross-venue funding rate.' The 'on-chain verified merkle anchor' note adds verifiability context, though the phrase 'trend ranging' is slightly ambiguous.

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 core purpose and output values are front-loaded, and the remaining clauses are short and additive. The track-record sentence is somewhat tangential and the 'trend ranging + cross-venue funding rate' phrasing is jargon-heavy, but the overall length is appropriate and not padded.

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?

Although there is no output schema, the description names the key returned elements — regime, confidence, strategy hint — and explains the data source and verifiability. It would be stronger with exact return field structure and clearer formatting of the regime enum, but it is sufficient for an agent to select and call the tool correctly.

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 all three parameters are already documented in the input schema. The description adds only general framing like 'one crypto perpetual futures' and 'composite verdict,' not parameter-specific semantics, so the baseline 3 applies.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence states a specific verb and resource: it returns the market regime, enumerates the possible values, and mentions confidence and a strategy hint for one crypto perpetual futures. It is clear enough to distinguish from the track-record tool by pointing to get_track_record, though it does not explicitly contrast with get_trade_signal or 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 Guidelines3/5

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

The description implies use when the agent needs a market regime for a single crypto perpetual futures and points to get_track_record for verification, which is a helpful companion-routing clue. However, it does not explicitly state when to choose this tool over siblings like get_trade_signal, get_trade_call, or scan_funding_arb, and there are no when-not conditions.

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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TDQS

A4.1/5.0
Disambiguation2/5

get_trade_call and get_trade_signal are exact duplicates, with the latter explicitly marked as an alias, making it impossible to distinguish between them by purpose. Other tools are reasonably distinct, but this redundancy creates real ambiguity in tool selection.

Naming Consistency5/5

All tools follow a consistent lowercase snake_case verb_noun pattern: get_*, scan_*, search_*, chat_*. The naming clearly indicates action and resource, and there are no mixed conventions or stylistic inconsistencies.

Tool Count5/5

Eight tools is well-scoped for a crypto quant signal server. Each tool covers a distinct need from knowledge retrieval to market scanning, and the count is neither bloated nor thin.

Completeness4/5

The tool surface covers the core read-only workflow: individual trade calls, market-wide scans, funding arb, market regime, track record, and knowledge lookup. Minor gaps like per-venue deeper drill-down or explicit historical signal retrieval are not critical but would round out the set.