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CarbonCashmere

Carbon Cashmere MCP Server

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get_v1_kaspa_derivatives_fee_regime

Retrieve Kaspa fee-market regime data, including fee-bucket distribution with sub-floor segment and pre/post-hardfork fee analytics.

Instructions

Kaspa fee-market regime: fee-bucket distribution incl. the sub-floor segment the Toccata minimum displaces. Unique pre/post-hardfork fee analytics. Informational research data — not investment advice. Price: $0.05. Category: kaspa.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

No annotations provided, so description carries full burden. It does not disclose behavioral traits like read-only nature, response format, or rate limits. The 'Informational research data' label is too vague about behavior.

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?

Four sentences are efficient and front-loaded. Each sentence adds meaningful info: data description, unique aspect, disclaimer, pricing/category. No wasted words.

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 zero-parameter, no-output-schema tool, the description adequately covers the purpose and data content. Includes pricing and category. Could mention that response is a JSON object, but not strictly necessary.

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?

No parameters, so schema coverage is 100%. Description adds value by explaining the data content (fee-bucket distribution, hardfork analytics), which goes beyond the empty schema.

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?

Description clearly states it provides fee-bucket distribution and pre/post-hardfork fee analytics, distinguishing it from sibling tools like fee_estimate and toccata_status. The verb is implied, but the resource and scope are specific.

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 vs alternatives. The disclaimer 'not investment advice' is not usage guidance. No comparison to sibling tools such as fee_estimate or toccata_status.

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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