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Diamond Bitcoin Intelligence

Whale x Geopolitics daily report

whale_geopolitics_report
Read-onlyIdempotent

One day's report: whale flows vs world news, lagged correlations, laundering patterns, headlines and the analyst brief (JSON). Price: 1000 sats or US$0.8 (USDC) per call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateNoYYYY-MM-DD, last 90 days. Default: latest.
l402NoOptional. After paying the Lightning invoice: '<token>:<preimage>'.
pay_withNoOptional. 'lightning' returns a BOLT11 invoice and a token instead of the x402 payment request.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.5/5.0
Behavior4/5

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

Annotations already establish readOnlyHint=true, openWorldHint=false and idempotentHint=true, so the safety profile is covered. The description adds a genuinely useful behavioral fact not present in structured fields: the cost per call (1000 sats or US$0.8 USDC) and that the output is JSON, which matters for an agent deciding whether to spend.

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?

Two tight sentences: the substantive content listing comes first and the commercial terms second, with no filler. Front-loading is correct and every clause carries information, though the report-content enumeration is dense rather than elegant.

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 read-only report tool with no output schema, the description adequately conveys what is returned and what it costs. The date range and payment-token mechanics live in the schema, and the price lives in the description, so the two together are sufficient for a correct call.

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%, and each parameter (date, l402, pay_with) is documented in the schema itself, including the 90-day window and the '<token>:<preimage>' format. The description adds no parameter-level detail beyond what the schema provides, so the baseline 3 is appropriate.

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 names a specific resource (a one-day report) and enumerates its contents: whale flows vs world news, lagged correlations, laundering patterns, headlines, analyst brief. This is far more concrete than a generic 'report' tool. It does not explicitly differentiate from siblings like bitcoin_market_pulse, but the enumerated content makes its scope inferable.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

There is no explicit when-to-use or when-not-to-use guidance, and no sibling is named as an alternative for adjacent needs (e.g., bitcoin_market_pulse for price data). The only contextual clue is the pricing line, which implies a paid, deliberate call rather than routine use.

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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