Skip to main content
Glama

AlgoVault — Crypto Quant Trade Calls

get_trade_call

Read-only

Returns a composite verdict — BUY SELL HOLD trade call with confidence and market regime — for one crypto or tokenized-stock perpetual futures. One asset only; whole-market scan: scan_trade_calls. Read-only: live exchange APIs, no orders. Verified track record: get_track_record or performance://signal-performance; on-chain verified merkle anchor.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
coinYesBase asset, e.g. BTC ETH SOL signal, or a US stock/ETF ticker (no USDT).
exchangeNoCrypto venue (default Binance), e.g. Binance Bybit OKX Bitget Hyperliquid.
timeframeNoCandle timeframe, 1m to 1d. Default 15m. Crypto quant intraday horizon.
assetClassNoForce engine: 'perp' or 'equity'. Cross-venue multi-exchange AI trading signal.
includeReasoningNoInclude reasoning: trend ranging crypto signal and market regime drivers.

TDQS

A4.5/5.0
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 that it uses live exchange APIs and places no orders, which is useful operational context beyond the annotations. It also mentions the verified on-chain merkle anchor, providing extra transparency without contradicting the structured hints.

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-load the primary result, then give the key scoping constraint and sibling alternative, followed by read-only and verification context. Every sentence earns its place with no filler or repetition.

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?

With no output schema, the description still communicates the core return shape: BUY/SELL/HOLD verdict, confidence, and market regime. Combined with fully documented parameters and annotation-provided safety profile, the agent has enough to invoke 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 five parameters are already documented in the input schema. The description adds the one-asset constraint and output composition but not much new parameter-level detail, so the baseline score 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?

States a specific verb and resource—'Returns a composite verdict—BUY SELL HOLD trade call with confidence and market regime—for one crypto or tokenized-stock perpetual futures.' It also distinguishes itself from siblings by explicitly naming scan_trade_calls as the whole-market alternative and get_track_record for track-record requests.

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?

Explicitly says 'One asset only; whole-market scan: scan_trade_calls,' giving a clear when-not and direct alternative. It also routes users wanting verified performance to get_track_record or performance://signal-performance, so usage context and alternatives are concrete.

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

Try in Browser

Glama MCP Gateway

Add one secure layer between your agents and this server.

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.