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CarbonCashmere

Carbon Cashmere MCP Server

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get_v1_bittensor_derivatives_subnet_netuid_emission_trend

Retrieve and track hourly emission and stake trends for any Bittensor subnet over 1h, 24h, 7d, or 30d windows. Uses metagraph snapshots for subnet momentum analysis.

Instructions

Hourly emission and stake trend for a Bittensor subnet (window: 1h/24h/7d/30d). Derived from bittensor_metagraph snapshots. AI agent API for subnet-momentum tracking. Informational research data — not investment advice. Price: $0.02. Category: bittensor-mantis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
netuidYesPath parameter netuid (e.g. BTC, ETH, SOL, or other supported identifier)
Behavior2/5

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

No annotations provided; the description does not disclose behavioral traits such as authentication needs, rate limits, or error handling. It only mentions data source and informational nature.

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 relatively concise with key information upfront. However, it includes extraneous details like price and category that may not be essential for an AI agent.

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?

For a simple tool with no output schema, the description covers what it returns (emission/stake trend) and available windows, but lacks details on output format, pagination, or limits.

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% with parameter description already mentioning example identifiers. The tool description adds no significant extra meaning beyond the schema, so baseline 3 is appropriate.

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 it returns hourly emission and stake trend for a Bittensor subnet with time windows. It distinguishes from sibling tools by specifying the exact resource and action, e.g., subnet-momentum tracking.

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?

The description provides no explicit guidance on when to use this tool versus alternatives like other subnet-specific tools. It only implies usage for momentum tracking but lacks exclusions or sibling differentiation.

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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