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Carbon Cashmere MCP Server

Carbon Cashmere MCP Server

Official
by CarbonCashmere
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TypeScript
Remote

get_v1_bittensor_derivatives_subnet_netuid_alpha_risk

Retrieve a comprehensive risk profile for any Bittensor subnet alpha-token, including realized volatility, max drawdown, liquidity proxy, and a transparent risk score based on continuous price observation.

Instructions

Bittensor alpha-token risk profile: realized annualized volatility, max drawdown, liquidity proxy, transparent risk score (formula disclosed) from continuous own price observation across all subnets. Informational research data — not investment advice. Price: $0.25. Category: bittensor-mantis.

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": {
      "netuid": "<netuid>"
    },
    "name": "get_v1_bittensor_derivatives_subnet_netuid_alpha_risk"
  }
}

Input Schema

NameRequiredDescriptionDefault
netuidYesPath parameter netuid (e.g. BTC, ETH, SOL, or other supported identifier)

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.2.2

TDQS

B3.1/5.0
Behavior3/5

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

The description lists included metrics and mentions data source ('continuous own price observation') but does not disclose computational cost, caching behavior, or permission requirements. With no annotations, the description carries burdens it partially meets.

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?

The description is three sentences with clear structure: core functionality, disclaimer, metadata. No fluff, though the price and category could potentially be omitted without loss of clarity.

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

Completeness2/5

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

The description lists metrics but does not describe the output format or structure. With no output schema, the agent lacks information on how to interpret the response. The simple single-parameter input is well-covered.

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% and the parameter 'netuid' is described with examples. The tool description adds no additional parameter context, so baseline 3 is appropriate.

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 clearly states the tool provides a risk profile for Bittensor alpha-tokens including specific metrics like volatility and drawdown. It distinguishes itself from sibling tools by focusing on risk, but does not explicitly differentiate from similar subnet-specific tools.

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?

No explicit guidance on when to use this tool versus alternatives. The disclaimer about research data hints at context but does not specify prerequisites or exclusion criteria.

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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