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startmining-mcp

startmining-mcp

by TIBSP
OverviewSchemaSourceRelated ServersDiscussionsAdmin
TypeScript
Remote

calculate_breakeven

Calculate the breakeven BTC price for a mining operation using hashrate, power draw, and electricity cost to see when mining becomes profitable.

Instructions

Calculate breakeven BTC price for mining operation

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "hashrate_th": "<hashrate_th>",
      "power_watts": "<power_watts>",
      "electricity_cost": "<electricity_cost>"
    },
    "name": "calculate_breakeven"
  }
}

Input Schema

NameRequiredDescriptionDefault
hashrate_thYesHashrate in TH/s
power_wattsYesPower consumption in watts
electricity_costYesElectricity cost in $/kWh

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.2.0

TDQS

C2.9/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full behavioral burden, and it discloses almost nothing: no assumptions about network difficulty, block reward, pool fees, or BTC/USD input, no indication that it is a read-only computation, and no information about the returned value's units. For a tool with zero annotation coverage this is a notable gap.

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 short sentence that front-loads the verb and the computed quantity with no filler. It is efficient, though its extreme brevity is partly why other dimensions are thin.

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?

The three required inputs are fully documented in the schema, but there is no output schema and the description does not clarify what the returned breakeven price represents or what underlying network assumptions are baked in. Given the absence of annotations and output schema, slightly more context would be warranted.

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%, with each of the three required parameters (hashrate_th, power_watts, electricity_cost) documented with units in the schema. The description adds nothing beyond that, so the 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?

The description names a specific verb (Calculate) and a specific resource (breakeven BTC price for a mining operation), so an agent can tell what it produces. It is distinguishable from pure data-fetch siblings like get_price_history or get_difficulty, but it does not contrast itself with the closest sibling, calculate_profitability.

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 calculate_profitability or how to obtain the required inputs (e.g., whether hashrate/power must be user-supplied or can be inferred). The agent gets no context, prerequisites, or exclusions.

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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