Oura Data Inventory

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

Annotations already indicate readOnlyHint=true, destructiveHint=false, idempotentHint=true. The description adds that it does not call Oura APIs or expose user data, which is valuable beyond annotations. No contradictions.

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 two sentences, front-loading the purpose and adding a key limitation. No wasted words; efficient and scannable.

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 is simple, has an output schema, and annotations are thorough, the description covers the essential behavioral aspects. It is complete for an inventory/help 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?

There is only one parameter (response_format) with an enum. Schema coverage is 0%, but the parameter is self-explanatory (choose between markdown and json). The description does not explicitly mention it, but the enum values are clear enough.

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 inventories supported Oura data domains, auth scope requirements, privacy boundaries, and recommended first calls. It explicitly says it does not call Oura APIs or expose user data, which distinguishes it from sibling tools that fetch specific 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 implies usage for initial context gathering and setup, as it inventories available data and requirements. It explicitly excludes API calls. While it does not name specific alternatives, the sibling tools are mostly data-fetching, so the purpose is clear.

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