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CarbonCashmere

Carbon Cashmere MCP Server

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get_v1_bittensor_derivatives_registration_cost_history

Tracks hourly Bittensor subnet registration activity and burn costs to identify cheap registration windows.

Instructions

Hourly Bittensor subnet registration activity (NeuronRegistered event count per subnet) + current burn-cost per subnet. Useful for predicting cheap-registration windows. Price: $0.02. Category: bittensor-mantis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations are provided, so the description must bear the burden of transparency. It describes the output data but does not disclose whether the operation is read-only, any limitations, or data freshness. The lack of such details is a gap.

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

Conciseness5/5

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

The description is three sentences long, front-loading the core functionality and use case. Every sentence contributes meaningfully, with no waste.

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?

Given the absence of an output schema, the description provides a general idea of the output but lacks specifics like format (e.g., list of objects, time series). The completeness is adequate but not thorough.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With no parameters, the schema has 100% coverage (empty). The description adds value by explaining what the tool returns, which is more than the schema alone can convey. Baseline for 0 params is 4.

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 that the tool provides hourly Bittensor subnet registration activity and current burn-cost per subnet, which distinguishes it from sibling tools like get_v1_bittensor_derivatives_subnets_all.

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

Usage Guidelines4/5

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

The description explicitly mentions the use case 'Useful for predicting cheap-registration windows,' providing helpful context. However, it does not compare to alternatives or specify when not to use.

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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