windai-mcp

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

No annotations provided, so description carries full burden. It discloses what information is returned (architecture, training data, accuracy metrics, validation results) but omits explicit safety declarations (read-only status), authentication requirements, or caching behavior. 'Get information' implies read-only but doesn't confirm it explicitly.

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?

Two well-structured sentences with zero waste. First sentence defines the operation and return content; second provides usage context. Information is front-loaded and appropriately sized.

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?

No output schema exists, but the description compensates by listing specific return fields (architecture, training data, etc.). Given the tool's simplicity (no params, no annotations), this is sufficiently complete, though explicit mention of read-only safety would strengthen it further.

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?

Zero parameters present. Per scoring rules, 0 params = baseline 4. The description appropriately requires no additional parameter context since the schema is empty.

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?

Description uses specific verb 'Get information' and clearly identifies the resource as 'WindAI's machine learning model'. It distinguishes from siblings (pricing, estimates, assessments) by focusing on model metadata like architecture and training data rather than operational wind 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?

Provides clear context with 'Useful for understanding the methodology behind WindAI predictions', indicating when to select this tool. However, it lacks explicit exclusions or named alternatives (e.g., 'Do not use for predictions, use get_wind_estimate').

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