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Oura MCP Capabilities

oura_capabilities
Read-onlyIdempotent

Understand supported Oura ring data, privacy boundaries, and recommended workflow for local AI agent integration.

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

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

Annotations already declare readOnlyHint=true, idempotentHint=true, destructiveHint=false, and openWorldHint=false, so the safety profile is clear. The description adds useful context about the content it explains (data, privacy, workflow, links), which goes beyond the annotations. No contradiction with annotations.

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?

The description is a single sentence that front-loads the key purpose. Every word is meaningful and there is no redundancy.

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

Completeness4/5

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

For a meta-capabilities tool, the description covers the main areas (data, privacy, workflow, links). Although it omits the optional parameter, the overall context is adequate given the presence of an output schema (which explains return values). The description could mention usage timing (e.g., start here) but is otherwise complete.

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

Parameters1/5

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

The schema has one optional parameter (response_format) with enum values, but schema description coverage is 0%. The description does not mention this parameter or clarify its purpose (e.g., controlling output format). Since the description fails to compensate for the lack of schema descriptions, the score is low.

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 uses a specific verb ('Explain') and clearly identifies the resource ('supported Oura data, privacy boundaries, recommended agent workflow and project links'). This distinguishes it from sibling tools that focus on specific data endpoints or auth flows.

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

Usage Guidelines3/5

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

The description implies the tool is for understanding capabilities, but it does not explicitly state when to use this tool versus alternatives (e.g., before calling other tools). No guidance on prerequisites or context is provided.

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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