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RCQ Data Oracle

BTC DCA Indicator

btc_dca_indicator

Paid regime-aware BTC accumulation-intensity indicator. Use when a systematic accumulation workflow needs a 0-9 score, LIGHT, BASE, ACCELERATE or AGGRESSIVE state, and an intensity multiplier. Forward validation remains active; this is market intelligence, not statistically proven alpha or individualized advice. Read rcq://catalog for current availability and price.

Input Schema

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

TDQS

A3.9/5.0
Behavior4/5

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

With no annotations, the description carries the full disclosure burden and does well: it states that the tool is paid, that forward validation is active, and that it provides unproven market intelligence rather than individualized advice. It does not detail failure/error behavior or price, but directs users to rcq://catalog for availability and price.

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?

Four concise sentences front-load the use case and outputs, then add limitation and pricing-lookup context. No redundant restatement of the tool name or schema, and each sentence contributes.

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 single-parameter indicator with no output schema, the description specifies the expected outputs (score, state, multiplier), the paid workflow context, and the validation caveat. It could mention what happens without a valid payment signature or offer more return-format detail, but the core call context is covered.

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 the payment_signature parameter is already documented as an x402 payment authorization. The description adds the paid nature and price lookup but no parameter-specific detail beyond that, which matches the baseline 3 for full schema coverage.

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 description clearly identifies the tool as a paid, regime-aware BTC accumulation-intensity indicator and explicitly lists its outputs: a 0-9 score, a LIGHT/BASE/ACCELERATE/AGGRESSIVE state, and an intensity multiplier. It does not use a strong action verb, but the accumulation-intensity use case distinguishes it from sibling funding-regime and macro-risk tools.

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 gives a specific condition: use when a systematic accumulation workflow needs the score/state/multiplier. It does not explicitly mention alternatives or when not to use it, but the stated workflow is sufficiently specific to guide selection among the funding-regime and macro-risk siblings.

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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