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echocharlie

Oura MCP Server

by echocharlie

oura_get_stress_resilience

Read-only

Track how daily stress loads affect long-term resilience by combining stress and recovery data into a single view.

Instructions

Daytime stress load plus long-term resilience — the daytime side of recovery.

Combines the daily_stress and daily_resilience collections into one table so you can see whether high-load days accumulate physiological stress and erode resilience.

CSV columns: date, stress_high_min (stressful daytime minutes), recovery_high_min (restorative minutes), day_summary (restored|normal|stressful), resilience_level (limited|adequate|solid|strong|exceptional), sleep_recovery, daytime_recovery, stress (the last three are 0-100 resilience contributors).

Defaults to the last 30 days. Resilience needs ~weeks of data to populate.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNoISO end date (YYYY-MM-DD), inclusive. Defaults to today.
start_dateNoISO start date (YYYY-MM-DD). Defaults to a 30-day window ending at end_date.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already mark readOnlyHint=true, so the description adds value by noting default 30-day window and that resilience requires weeks of data. 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.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description efficiently communicates purpose and columns, but the CSV column list adds length. It could be slightly tighter while remaining informative.

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?

Given the presence of an output schema, the description covers purpose, output structure (column list), default behavior, and a data-population caveat. It is fully adequate for agent selection.

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

Parameters3/5

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

Schema description coverage is 100% and adequately documents start_date and end_date. The description adds no extra parameter details beyond what the schema provides.

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 fetches daytime stress and long-term resilience data, combining two collections. It distinguishes from siblings by specifying 'daytime side of recovery' and listing CSV columns, providing a specific verb+resource.

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 viewing stress alongside resilience but does not explicitly state when to use it versus siblings like oura_get_daily_summary. No when-not-to-use or alternative guidance 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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