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get_similarity_match

Identifies top 3 historical BTC microstructure regimes most similar to current market using live liq_radar snapshots, returning cosine similarity and observed ~4h price outcomes.

Instructions

Find the top 3 historical BTC microstructure regimes most similar to now using HyperNatt live liq_radar snapshots (~15m cadence). Returns cosine similarity %, match context, and observed ~4h BTC price outcomes. Pay-per-call: $0.01 USDC on Base via x402. Read-only analogy for agents — not a trade signal.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
x_paymentNoOptional x402 payment payload (base64 JSON). Omit to receive 402 payment instructions.
full_payloadNoIf true, return full JSON with feature vectors; default summary only.
Behavior5/5

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

Discloses pay-per-call cost, cadence (~15m snapshots), output details, and clarifies non-trade-signal nature. No annotations present, so description carries full burden.

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 concise sentences, front-loaded with purpose, no wasted words. Easily scannable.

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, description adequately explains return values (cosine similarity, match context, price outcomes) and payment details. Complete for a 2-param optional tool.

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 coverage is 100%, so baseline 3. Description adds minor context (full payload option returns feature vectors) but does not significantly extend parameter meaning.

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?

Clearly states it finds top 3 historical BTC microstructure regimes similar to now using specific data sources. Specifies output: cosine similarity %, match context, and price outcomes. Distinct from siblings.

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?

Explicitly marks as read-only and not a trade signal, with payment info. Does not name specific alternatives but context suffices.

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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