Bitcoin-MCP-Server

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 behavioral traits by specifying the return format ('Returns key metrics in string format') and listing the metrics included, which helps the agent understand what data to expect. However, it lacks details on potential limitations like rate limits, data sources, or error handling, which would be valuable for a tool with no annotations.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured and concise, with two paragraphs: the first explains the tool's purpose and output metrics, and the second provides usage guidelines. Every sentence adds value, such as listing specific metrics and stating use cases, without any redundant or filler content. It is front-loaded with the core functionality.

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

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

Given that there is an output schema (though not detailed in the context), the description need not fully explain return values, but it does list key metrics, which is helpful. With no annotations and 0 parameters, the description covers the tool's purpose, output, and usage context adequately. However, it could be more complete by addressing potential behavioral aspects like data freshness or error scenarios, but it's sufficient for a simple price-check tool.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

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 does not discuss parameters, focusing instead on the tool's output and usage. This aligns with the baseline for zero parameters, as it avoids unnecessary repetition and adds value through output details.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

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 Bitcoin's current USD price and essential market indicators.' It specifies the verb ('get') and resource ('Bitcoin's current USD price and essential market indicators'), distinguishing it from siblings like 'get_bitcoin_market_data' or 'get_cryptomarket_overview' by focusing specifically on price and key metrics rather than broader market or network data.

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

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

The description provides clear usage context: 'Use cases: When you need a quick Bitcoin price check with essential market context.' This explicitly states when to use the tool (for quick price and market indicators). However, it does not mention when not to use it or name specific alternatives among the siblings, such as 'get_bitcoin_market_data' for more detailed data.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.