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mineryield-mcp

mineryield-mcp

by nadeaup

Get difficulty prediction

get_difficulty_prediction
Read-only

Predict a coin's 7-day network difficulty trend to plan ASIC mining profitability. Returns a model-based estimate for BTC or other supported coins, not a guarantee.

Instructions

GET /api/v1/difficulty-prediction — 7-day network difficulty trend for a coin (default BTC). Model estimate, not a guarantee.

Input Schema

NameRequiredDescriptionDefault
coinNoCryptocurrency ticker. Allowed values match GET /api/v1/difficulty-prediction: BTC, BCH, LTC, DOGE, ZEC, KAS, CKB, RXD, SC, DCR, DASH, GRIN, ALPH, XTM, ETC, XMR, ALEO, HNS, BTCB2, KDA, NEXA, XP, QUAI, ARRR, OCTA, ETHW, QKC, MWC, SCP. Defaults to BTC.

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.1

TDQS

B3.4/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false and openWorldHint=true, so safety is covered. The description earns some credit for the caveat that this is a model estimate rather than a guarantee, but adds nothing about freshness, update cadence, or response shape.

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?

One compact sentence with the key scope (7-day trend, BTC default) and caveat front-loaded. The embedded HTTP route and endpoint path are slightly redundant with the tool name but not wasteful.

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 should convey what the trend payload looks like (e.g. per-day difficulty estimates, units, horizon start). It conveys the 7-day horizon and that values are estimates, which is the core, but return-shape detail is missing.

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 optional coin parameter already documents the full ticker allowlist and BTC default. The description repeats the default rather than adding constraint or format detail, so baseline 3 applies.

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+resource (retrieves a 7-day network difficulty trend) and the default scope (BTC). It is clearly distinct from every sibling (market data, profitability, miner listings), though it doesn't explicitly name a sibling it might be confused with.

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 only implied by the topic — the agent can infer you call it when difficulty outlook is relevant. There is no explicit when/when-not guidance or pointer to an alternative such as get_market_data for price/market context.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.