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CarbonCashmere

Carbon Cashmere MCP Server

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get_v1_bittensor_derivatives_subnet_netuid_weights_integrity

Check a Bittensor subnet's validator integrity: detect copy-cluster weight commits, evaluate committer independence, and assess validation honesty before staking or delegating.

Instructions

Bittensor validator integrity verdict: copy-cluster detection (identical weight commits), active committers, independence score (formula disclosed) from the timelock weight-commit stream. Vet a subnet's validation honesty before you stake or delegate. Informational research data — not investment advice. Price: $0.50. Category: bittensor-mantis.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
netuidYesPath parameter netuid (e.g. BTC, ETH, SOL, or other supported identifier)
Behavior4/5

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

With no annotations, the description carries full burden. It describes the data as 'copy-cluster detection', 'active committers', 'independence score (formula disclosed)', and notes it is 'informational research data'. It mentions the cost ($0.50) and that it is from the 'timelock weight-commit stream'. No destructive behavior is implied. Some details like rate limits or response format are missing, but transparency is generally good.

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 concise and well-structured: it states what the tool does, its purpose, and a caveat. It includes necessary details like price and category. However, the inclusion of 'Price: $0.50' and 'Category: bittensor-mantis' is somewhat extraneous but not harmful.

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 no output schema, the description should clarify the return. It mentions three outputs (copy-cluster detection, active committers, independence score) but does not specify their format or structure. The single parameter is adequately described, but the lack of output details makes it incomplete for an agent to fully understand what to expect.

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

Parameters2/5

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

Schema coverage is 100%, so baseline is 3. However, the description does not add clarity to the 'netuid' parameter; it gives examples (BTC, ETH, SOL) that likely do not match Bittensor's numeric subnet IDs, potentially confusing the agent. The description fails to specify what values are valid, reducing its helpfulness.

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 the tool's function: copy-cluster detection, active committers, and independence score from the weight-commit stream. It explicitly mentions the purpose: to vet a subnet's validation honesty before staking or delegating. This distinguishes it from sibling tools.

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 advises when to use ('before you stake or delegate') and includes a disclaimer ('informational research data — not investment advice'). However, it does not mention when not to use the tool or compare directly with sibling tools, but the clear purpose provides implicit guidance.

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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