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teamssUTXO

Bitcoin-MCP-Server

get_bitcoin_network_mining_pools_statistics

Retrieve comprehensive metrics on Bitcoin mining pools, including dominance percentage and centralization indicators, to assess network distribution and competition.

Instructions

Use this to get aggregate statistics and analysis of the Bitcoin mining pool ecosystem.

Returns comprehensive metrics in string format about the entire mining landscape:

**Global Statistics:**
- Total number of active mining pools tracked
- Total blocks mined across all pools
- Average blocks mined per pool

**Network Dominance Analysis:**
- Name of the current leading pool
- Number of blocks mined by the leader
- Leader's dominance percentage (share of total network)

**Power Distribution Insights:**
- Smallest pool's block count (weakest actor)
- Ratio of leader's performance compared to average (centralization indicator)

This tool provides a macro view of mining centralization and competition in the Bitcoin network.

Use cases: When you need to understand the overall mining landscape, assess centralization risk, or compare the gap between dominant and small pools.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations provided; description adds context on return format (string) and metrics but does not disclose read-only nature or any side effects, which is acceptable for a query tool but the burden is higher without annotations.

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?

Well-organized with sections and bullet points; front-loaded with purpose. Could be slightly leaner but efficient.

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

Completeness5/5

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

Complete for a tool with no parameters and an output schema; description explains all return fields and use cases, leaving no ambiguity.

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?

Input schema is empty; no parameters to document. Baseline is 4; description adds value by detailing output structure, which compensates for lack of parameters.

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?

Description clearly states it returns aggregate statistics of Bitcoin mining pool ecosystem with specific metrics like total pools, blocks, dominance, etc. It is distinct from siblings like get_mining_pool_by_slug or get_top_10_mining_pools_rank.

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?

Provides explicit use cases ('assess centralization risk', 'compare gap between dominant and small pools') but does not mention when to avoid or alternatives among siblings.

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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