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Oura MCP Capabilities

oura_capabilities
Read-onlyIdempotent

Explains supported Oura data types, privacy boundaries, and recommended workflows for AI agents using Oura MCP.

Instructions

Explain supported Oura data, privacy boundaries, recommended agent workflow and project links.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
projectYes
mcp_nameYes
creatorYes
unofficialYes
api_boundaryYes
auth_modelYes
privacy_modesYes
supported_dataYes
recommended_agent_flowYes
client_aliasesYes
contribution_pathsYes
linksYes
Behavior4/5

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

Annotations already declare readOnlyHint=true and idempotentHint=true. The description adds context about what is explained (data, privacy, workflow, links), which is consistent and informative beyond safety traits.

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?

One concise sentence front-loading the purpose. Every word adds value; no wasted text.

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?

For a simple informational tool with one parameter and an output schema, the description covers all key aspects: supported data, privacy boundaries, workflow, and project links. It is complete for the tool's purpose.

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

Parameters2/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The only parameter 'response_format' has enum values and a default, but the description provides no explanation of it. With 0% schema description coverage, the description should have compensated but did not.

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 explains supported Oura data, privacy boundaries, workflow, and links. The verb 'explain' is specific and distinct from other sibling tools that list or fetch data.

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

Usage Guidelines4/5

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

The description implies this tool is for getting an overview of capabilities, but does not explicitly state when to use it vs other tools or any exclusions. It is clear but lacks explicit guidance.

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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