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teamssUTXO

Bitcoin-MCP-Server

get_bitcoin_market_data

Get a comprehensive Bitcoin market report including price, volatility, historical performance, and tokenomics for in-depth investment analysis.

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
Behavior5/5

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

No annotations are provided, so the description fully covers behavioral transparency. It discloses that the tool returns a string report, and lists all data categories: core metrics, tokenomics, 24-hour volatility, historical performance, multi-timeframe price analysis, and additional info. There is no hidden 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?

The description is well-structured with clear sections and bullet points, front-loading the purpose. Every sentence adds value, and the length is appropriate for the complexity of the tool. It is concise yet comprehensive.

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 has no parameters and an output schema exists, the description still provides a complete overview of what the tool returns. It includes use cases and differentiation from siblings, making it fully informative for an 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 tool has no parameters (input schema is empty), so schema coverage is 100%. Baseline for 0 parameters is 4. The description does not need to add parameter info, and it meets expectations by clearly listing the output. No param details are necessary.

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 provides a comprehensive technical and financial report on Bitcoin with extensive historical data and market analysis. It explicitly distinguishes from a sibling tool (get_bitcoin_price_usd) for quick price checks, ensuring the agent knows when to use which tool.

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 guidance on when to use this tool: when in-depth Bitcoin market analysis, historical performance tracking, or comprehensive investment research is needed. It also directly advises against using it for quick price checks and recommends the alternative sibling tool.

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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