AI Makerspace 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 of behavioral disclosure. It mentions the tool returns a 'Formatted string with current price and market data,' which gives some output context, but lacks details on error handling, rate limits, authentication needs, or data freshness. For a tool with no annotations, this is a significant gap in transparency.

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 appropriately sized, with a clear purpose statement followed by Args and Returns sections. Every sentence adds value, and it's front-loaded with the core functionality. Minor room for improvement in brevity, but it's efficient overall.

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 the tool's moderate complexity (2 parameters, no output schema, no annotations), the description is somewhat complete but has gaps. It covers purpose and parameters well but lacks behavioral details like error cases or rate limits. Without annotations or output schema, it should do more to guide the agent, making it adequate but not fully comprehensive.

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?

Schema description coverage is 0%, so the description must compensate. It effectively explains both parameters: 'coin_id' as 'The cryptocurrency ID (e.g., 'bitcoin', 'ethereum', 'dogecoin')' and 'vs_currency' as 'The currency to compare against (default: 'usd')'. This adds clear meaning beyond the bare schema, covering semantics and examples, though it could note parameter constraints like valid currency codes.

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 the current price and market data for a cryptocurrency.' It specifies the verb ('Get') and resource ('current price and market data for a cryptocurrency'), making it easy to understand. However, it doesn't differentiate from sibling tools like 'roll_dice' or 'web_search', which is unnecessary here since they serve completely different domains, so a 4 is appropriate.

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 no guidance on when to use this tool versus alternatives. It doesn't mention any context-specific scenarios, prerequisites, or exclusions. While the sibling tools are unrelated, there's no explicit or implied usage advice, leaving the agent without operational context.

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