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Staking Inside Crypto ETFs

get_staking
Read-only

Get the staking status of US spot crypto ETFs: active, allowed_not_started, pending_amendment, no, not_stakeable (proof-of-work assets and XRP) or unknown, from SEC filings. For staking funds: cap and share of assets staked, the staking yield as disclosed by the issuer with its date, providers, whether rewards are kept in the fund or paid in cash, the last cash payout per share, and coinsPerShare — the annualised growth of coins behind each share from daily issuer snapshots (shown only where the series is clean). Per asset: funds staking and the estimated coins staked.

Input Schema

NameRequiredDescriptionDefault
assetNoOptional asset filter: btc, eth, sol, xrp, hyp, doge, link, avax, hbar, ltc, bnb, dot, sui, near, trx, zec

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A3.8/5.0
Behavior4/5

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

Annotations already declare readOnlyHint=true and openWorldHint=false, so safety is covered. The description adds valuable provenance (SEC filings) and a data-quality caveat ('coinsPerShare' shown only where the series is clean), which goes beyond structured fields. It stops short of describing rate limits or failure modes, keeping it at a 4.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The status enumeration is front-loaded, but the second sentence is a dense run-on that packs many metrics into one clause. It is informative but could be structured with clearer separation, slightly hurting readability.

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, the description carries the burden of explaining return values, and it does so thoroughly: statuses, yield disclosure, payout behavior, and per-asset aggregates. It is nearly complete for a one-parameter read tool, though a note on response shape or empty-result behavior would make it fully self-contained.

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 the single enum parameter is fully documented in the schema. The description adds only a slight hint that results can be broken down per asset, but does not clarify filter syntax or defaults beyond the schema. Baseline 3 applies.

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 states a specific verb and resource (get staking status of US spot crypto ETFs from SEC filings) and enumerates the exact status values, which distinguishes it from sibling tools like get_etf_holdings or get_fund_flows. An agent can identify the tool's purpose without ambiguity.

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

Usage Guidelines3/5

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

Usage is implied by the domain (staking status of crypto ETFs), but the description never states when to choose this over sibling tools or when the data is not applicable. No explicit alternatives or exclusions are given.

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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