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RCQ Data Oracle

BTC Funding Regime

btc_funding_regime

Paid compact BTC perpetual-funding regime read across Bitnomial, OKX, Hyperliquid and dYdX. Use as a low-cost branch-on-state check before requesting the full funding surface. Returns regime state, normalized surface statistics, venue coverage and freshness. This is derivatives and crowding intelligence, not validated directional alpha. Read rcq://catalog for current availability and price.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
payment_signatureNox402 payment authorization for MCP 2026 header-aware clients.

TDQS

A4.4/5.0
Behavior4/5

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

No annotations are present, so the description carries the behavioral burden. It discloses that the tool is paid, compact/low-cost, returns summary regime data rather than the full surface, and is not validated directional alpha. It could go further on failure modes or rate limits, but for a read-only regime check the key cost and scope behaviors are covered.

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 core purpose, then cover usage, return contents, caveat, and catalog pointer with zero filler. Every sentence earns its place.

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?

With no output schema, the description provides the needed return categories: regime state, normalized surface statistics, venue coverage, and freshness. It also covers cost/availability and names the exact venues. The output shape is somewhat unspecified, but the branch-on-state use case is clear enough for an agent to invoke 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?

The schema already documents the single optional payment_signature parameter at 100% coverage, including its x402 header purpose and min length, so the description adds no new parameter-level detail. The baseline of 3 applies because the schema does the heavy lifting.

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 uses a specific verb and resource: a 'compact BTC perpetual-funding regime read' across four named venues. It also distinguishes itself from the sibling 'full funding surface' by calling itself a low-cost branch-on-state check, so an agent can tell it apart immediately.

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?

It explicitly says 'Use as a low-cost branch-on-state check before requesting the full funding surface,' which names the alternative and the condition that selects it. It also gives a when-not by stating it is 'not validated directional alpha' and points to rcq://catalog for availability and price.

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

A4.2/5.0
Disambiguation5/5

Each tool addresses a clearly distinct purpose: DCA accumulation intensity, funding regime compact state, full funding surface, comprehensive BTC snapshot, macro event risk, monthly performance series, and operational status. The only potential overlap is between btc_funding_regime and btc_funding_surface, but the descriptions explicitly differentiate them as a cheap branch-on-state check versus the full surface, eliminating ambiguity.

Naming Consistency5/5

All tool names use lowercase snake_case and follow a noun-phrase pattern with domain-prefixed names (btc_, macro_, monthly_, rcq_). They are descriptive and consistent in style, with no mixing of conventions like camelCase or varied verb usage. The naming clearly signals the data domain and specific focus of each tool.

Tool Count5/5

Seven tools is a well-scoped set for a specialized BTC market intelligence oracle. Each tool earns its place by covering a distinct data need—regime checks, funding surfaces, macro context, historical series, and operational status—without redundancy or missing core functionality. The count is neither too sparse nor overwhelming.

Completeness5/5

The tool surface provides comprehensive coverage for its stated purpose: real-time and historical market intelligence, funding regime and surface analysis, DCA strategy indicator, macro risk events, and monthly performance data. The inclusion of a status tool ensures operational reliability. There are no obvious gaps that would cause agent failures, as the domain is clearly scoped to BTC-centric data.

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