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Spot ETF flows and the institutions verdict

get_etf_flows
Read-only

Bitcoin or Ethereum spot ETF flows fund by fund (BlackRock IBIT/ETHA, Fidelity, Grayscale ...), recent days, and OwlChart's "are the institutions selling?" verdict from three raw sources.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
assetNobtc

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

B3.2/5.0
Behavior3/5

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

readOnlyHint=true and openWorldHint=true already tell the agent this is a safe, open-world read, so the bar is lower. The description usefully adds that results are aggregated from 'three raw sources' and includes an interpretive 'verdict', but says nothing about freshness semantics, rate limits, or result granularity.

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?

A single front-loaded sentence that leads with the resource and stays compact. The ellipsis, nested quotes and parenthetical fund examples are slightly informal but do not waste space.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

With no output schema, the description must describe returns, and it does sketch them (fund-by-fund flows, recent days, a verdict). However, 'recent days' is imprecise and nothing is said about output shape or time coverage, leaving gaps for a data-retrieval 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 description coverage is 0%, so the description must carry the parameter meaning; it partly does by stating 'Bitcoin or Ethereum', which maps to the btc/eth enum. It does not mention the default of btc, and with a single enum param the added value is modest.

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 (Bitcoin or Ethereum spot ETF flows, fund by fund) and even cites concrete funds (BlackRock IBIT/ETHA, Fidelity, Grayscale), so an agent immediately knows what it retrieves. It is clear but doesn't explicitly position itself against siblings; the distinct resource alone carries the differentiation.

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 statement of when to use this tool versus alternatives, no prerequisites, and no exclusions. The description only says what data exists, leaving the agent to infer that it should call this for ETF-flow questions rather than get_price_history or get_market_radar.

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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