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CarbonCashmere

Carbon Cashmere MCP Server

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get_v1_subtensor_derivatives_transfer_flow

Monitors hourly Bittensor derivative transfer flow, providing count and total TAO volume for whale-watch and treasury tracking.

Instructions

Bittensor BalancesTransfer count + total TAO volume per hour. AI agent API for TAO whale-watch and treasury-movement monitoring. Informational research data — not investment advice. Price: $0.05. Category: general.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

With no annotations, the description carries the burden of disclosing behavior. It accurately indicates the tool returns count and volume per hour, and adds the cost ('Price: $0.05'), which is a key behavioral trait. It also includes a disclaimer about investment advice. However, it does not mention data freshness or any limits, but given the simplicity, this is adequate.

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 extremely concise: three short sentences that front-load the core functionality. Every word adds value, including the price and category. No superfluous text.

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

Completeness4/5

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

For a parameterless tool with no output schema, the description sufficiently explains what the tool returns (count and volume per hour) and its use case. It does not specify the time range or default behavior, but 'per hour' implies a fixed granularity, which is acceptable completeness.

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?

The tool has no parameters and schema coverage is 100% (empty schema). The description does not need to add parameter meaning. The baseline of 4 is appropriate as there is nothing to improve.

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 'Bittensor BalancesTransfer count + total TAO volume per hour', which is a specific verb+resource. It also contextualizes the use case ('TAO whale-watch and treasury-movement monitoring'), distinguishing it from sibling tools like registration or block metrics.

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 does not provide when to use this tool versus alternatives. Although it mentions a use case, it lacks explicit guidance on when not to use it or how it differs from similar sibling tools like get_v1_subtensor_derivatives_registration_pulse or get_v1_subtensor_derivatives_block_metrics.

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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