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teamssUTXO

Bitcoin-MCP-Server

get_mining_pool_by_slug

Retrieve comprehensive details for any Bitcoin mining pool using its unique slug identifier, including hashrate, blocks found, network share, and reward addresses.

Instructions

Use this to get comprehensive information about a specific Bitcoin mining pool using its unique slug identifier.

Returns detailed metrics in string format for the requested mining pool:
- Pool name
- Official website link
- Current hashrate (mining power)
- Number of blocks found/mined
- Network share percentage (portion of total Bitcoin blocks)
- Pool's Bitcoin addresses used for receiving block rewards

The slug is a unique identifier for each mining pool (e.g., "foundry-usa", "antpool", "f2pool"). You can obtain slugs from `get_top1_mining_pool` or `get_top_10_mining_pools_rank`.

Use cases: When you need detailed information about a specific mining pool that you already know by name or slug, to investigate a pool's addresses, or to verify a pool's technical specifications.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slugYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

No annotations are provided, so the description carries the full burden. It lists the return data fields and states the format is string-based, but does not disclose any behavioral aspects like caching, latency, or side effects. Adequate for a read-only tool.

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 moderately long but well-structured with bullet points for return fields and clear sections. It is not overly verbose, though some sentences could be combined for conciseness.

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?

Given the tool's simplicity (one parameter) and the existence of an output schema, the description covers everything necessary: purpose, input semantics, usage context, and return data overview. No gaps are apparent.

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 schema has zero description coverage for the single 'slug' parameter. The description compensates by explaining what a slug is, providing examples, and indicating how to obtain slugs from sibling tools, adding significant value beyond the schema.

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 verb 'get' and the resource 'comprehensive information about a specific Bitcoin mining pool' using a unique slug. It distinguishes from siblings by explaining that sibling tools provide the slugs.

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 explicitly states when to use the tool, such as when needing detailed info about a known pool, and explains how to obtain slugs from sibling tools. It lacks explicit when-not-to-use guidance, but context is clear.

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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