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MCP Bitcoin CLI

MCP Bitcoin CLI

by EricGrill
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

create_token_transfer

Transfer BRC-20 tokens by creating Bitcoin blockchain inscriptions with specified ticker and amount for on-chain token movements.

Instructions

Create a BRC-20 token transfer inscription.

    Args:
        tick: Token ticker (exactly 4 characters)
        amount: Amount to transfer

    Returns:
        Dictionary with inscription data in various formats.

Tool call template

Replace each placeholder with a value matching the input schema. Only required parameters are included; add optional parameters as needed.

{
  "id": 1,
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "arguments": {
      "tick": "<tick>",
      "amount": "<amount>"
    },
    "name": "create_token_transfer"
  }
}

Input Schema

NameRequiredDescriptionDefault
tickYes
amountYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.0.0

TDQS

B3/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It states the tool creates an inscription, implying a write operation, but lacks details on permissions, side effects, rate limits, or error handling. This is inadequate for a mutation tool with zero annotation coverage.

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 appropriately sized and front-loaded with the main purpose, followed by structured sections for args and returns. It avoids unnecessary fluff, though the formatting with indentation could be slightly cleaner for readability.

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

Completeness2/5

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

Given the complexity of creating a token transfer (a mutation operation) with no annotations and no output schema, the description is incomplete. It lacks information on what the inscription entails, how it interacts with the blockchain, error cases, or example outputs, leaving gaps for an AI agent.

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 description adds significant meaning beyond the input schema, which has 0% coverage. It explains that 'tick' is a token ticker with exactly 4 characters and 'amount' is the amount to transfer, clarifying semantics that the schema alone does not provide. However, it doesn't cover units or validation rules for 'amount'.

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?

The description clearly states the action ('Create a BRC-20 token transfer inscription') and resource (token transfer), making the purpose specific and understandable. However, it doesn't explicitly differentiate from sibling tools like 'create_token_deploy' or 'create_token_mint', which prevents a perfect score.

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 guidance on when to use this tool versus alternatives such as 'create_token_deploy' or 'create_token_mint', nor does it mention prerequisites or context for usage. It only lists parameters and returns, leaving usage entirely implied.

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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