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yasinozen35

free-etf-flows-mcp

by yasinozen35

get_latest_etf_flows

Retrieve Spot ETF flow records for Bitcoin (BTC) or Ethereum (ETH). Get real-time institutional daily net flows to monitor market activity.

Instructions

Fetch the most recent Spot ETF flow records for a given ticker (BTC or ETH).

Args: ticker: The asset ticker, either 'BTC' or 'ETH' (default 'BTC')

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
tickerNoBTC

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It identifies the operation as a read ('Fetch') and specifies the ticker scope, but does not disclose details like whether multiple records are returned, ordering, or any side effects. It implicitly indicates read-only behavior but lacks explicit confirmation.

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?

The description is appropriately concise, with a single purpose statement and an args section that directly explains the only parameter. There is no redundant or filler content; every sentence contributes value.

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?

Given the tool's simplicity (one optional parameter) and the existence of an output schema, the description provides the essential purpose and parameter semantics. It does not mention alternatives or edge cases, but for a basic read tool this is sufficient for correct selection and invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides no property descriptions (0% coverage), so the description compensates fully by explaining the 'ticker' parameter with its valid values ('BTC' or 'ETH') and default of 'BTC'. This adds clear meaning beyond the raw type and default in the schema, leaving no ambiguity about the parameter.

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?

The description clearly states the tool's function with a specific verb ('Fetch') and resource ('Spot ETF flow records'), scoped to the most recent records for a given ticker. It distinguishes itself from sibling tools like query_etf_flows_by_date_range, which focuses on date-range queries.

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?

The description provides clear context that this tool is for retrieving the latest ETF flows for a ticker, implying its use case. However, it does not explicitly mention alternatives or when not to use it, such as using query_etf_flows_by_date_range for historical data. This is a minor gap in guidance.

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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