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AlgoVault — Crypto Quant Trade Calls

get_track_record

Read-only

Returns the AlgoVault track record — aggregated PFE win rates by call type, timeframe and asset tier, plus the evaluation methodology and window. The same verified aggregate the performance://signal-performance resource serves, callable from harnesses that bridge tools only. Defaults to the compact aggregate; use include for the per-asset, per-venue or recent-signal breakdowns. Read-only, no side effects.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
includeNoOptional extra sections: byAsset, byExchange, recentSignals. Omit for compact.

TDQS

A4.3/5.0
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 reinforces this with 'Read-only, no side effects.' It adds useful behavior beyond annotations: compact-by-default output, optional breakdown sections, and the fact that the same aggregate is served by performance://signal-performance. No contradiction.

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 earning its place: purpose/content, alternative-resource context, and parameter/default behavior. The key return content is front-loaded before the include guidance, and there is no filler.

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?

For a read-only aggregate tool with no output schema, the description tells the agent what data is returned (PFE win rates, methodology, window), how to control detail with include, and that it is safe to call. The annotations cover the safety profile, and no essential call-time behavior is missing.

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?

The schema already documents the single include parameter with enum values and the 'Omit for compact' guidance, so description coverage is 100% and the bar is lower. The description adds mild semantic color by calling byExchange 'per-venue' and framing the values as breakdown sections, but it does not substantially extend the schema.

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?

Description opens with a specific verb and resource ('Returns the AlgoVault track record') and specifies the exact contents: aggregated PFE win rates by call type, timeframe, and asset tier, plus methodology and window. This clearly distinguishes it from sibling tools like get_trade_call and get_trade_signal, which return individual calls/signals rather than an aggregate record.

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?

It states when the compact default is appropriate and when to use the include parameter for per-asset, per-venue, or recent-signal breakdowns. It also notes the performance://signal-performance equivalence and harness-only callability. It does not explicitly name exclusion cases or sibling alternatives, but the usage 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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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.