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SatoshiMacro Market Data

US spot Bitcoin ETF flows

get_bitcoin_etf_flows
Read-onlyIdempotent

Net daily flows into US spot Bitcoin ETFs in USD millions: latest day by fund, 5-day and 30-day sums, and up to 30 daily totals.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
daysNoNumber of recent daily totals to return (default 10)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint=false and openWorldHint=false, so the safety profile is covered. The description usefully discloses the return shape (latest day by fund, 5-day and 30-day sums), which matters because there is no output schema, but it adds nothing about data freshness, lag, or update cadence.

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?

One dense sentence that front-loads the resource and then enumerates the returned aggregates. No filler, no repetition of the title.

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 and only one parameter, the description carries the return-value burden and does it well by listing the aggregate windows. It leaves out freshness/timing and whether data is in USD millions only for totals or also per fund, which is a minor gap.

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 the single 'days' parameter is fully documented there, so the baseline is 3. The phrase 'up to 30 daily totals' corroborates the schema's maximum of 30 but adds no new semantics such as what the default returns or ordering.

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?

States a specific verb and resource ('net daily flows into US spot Bitcoin ETFs') and scopes it to USD millions and US spot funds, which implicitly separates it from the sibling get_australian_bitcoin_etfs. It stops short of naming an alternative explicitly, so an agent must infer the routing.

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?

The description says what the tool returns but never says when to reach for it over get_market_snapshot, get_cycle_indicators, or the Australian ETF sibling. Usage is only implied by the subject matter, with no prerequisites or exclusions stated.

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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