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teamssUTXO

Bitcoin-MCP-Server

get_bitcoin_market_data

Access comprehensive Bitcoin market analysis including current metrics, historical performance, volatility data, and technical details for investment research.

Instructions

Use this to get a comprehensive technical and financial report on Bitcoin with extensive historical data and market analysis.

Returns an extensive report in string format including:

**Core Metrics:**
- Current price (USD) and market cap rank
- Total market capitalization
- Genesis date (blockchain creation date)

**Tokenomics & Supply:**
- Total supply and max supply
- Fully Diluted Valuation (FDV)
- Hashing algorithm and block time

**24-Hour Volatility:**
- Highest and lowest prices in last 24h
- Volatility percentage and price gap

**Historical Performance:**
- All-Time High (ATH) price, date, and percentage drop from ATH
- All-Time Low (ATL) price, date, and percentage rise from ATL

**Multi-Timeframe Price Analysis:**
- Price changes over 1 hour, 24 hours, 7 days, 30 days, 60 days, and 1 year
- Previous prices for each timeframe for trend comparison

**Additional Information:**
- GitHub repository link
- Whitepaper link
- Detailed project description

Use cases: When you need in-depth Bitcoin market analysis, historical performance tracking, or comprehensive investment research data. For quick price checks, use `get_bitcoin_price_usd`.

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 are provided, so the description carries the full burden. It discloses that the tool returns a report in string format with detailed sections, which is helpful. However, it lacks information on potential limitations like rate limits, data freshness, or error conditions. The description adds value but doesn't fully cover behavioral traits beyond the output format.

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 well-structured with bullet points for output details and a clear usage section. It's front-loaded with the core purpose. However, it could be slightly more concise by integrating the usage cases into the opening or reducing redundancy in listing output sections, but overall it's efficient and organized.

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?

Given the tool has no input parameters and an output schema exists, the description is largely complete. It details the extensive report content, which compensates for the lack of annotations. However, it could benefit from mentioning any prerequisites or limitations, but for a read-only data-fetching tool, it's sufficiently comprehensive.

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 input schema has 0 parameters with 100% coverage, so no parameter documentation is needed. The description appropriately doesn't discuss parameters, focusing instead on the output. This meets the baseline for tools with no parameters, as it doesn't introduce unnecessary information.

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 purpose: 'get a comprehensive technical and financial report on Bitcoin with extensive historical data and market analysis.' It uses specific verbs ('get', 'returns') and distinguishes itself from sibling tools like 'get_bitcoin_price_usd' for quick price checks, making the purpose explicit and differentiated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides explicit usage guidelines: 'Use cases: When you need in-depth Bitcoin market analysis, historical performance tracking, or comprehensive investment research data. For quick price checks, use `get_bitcoin_price_usd`.' This clearly states when to use this tool versus an alternative, offering both positive and negative 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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