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eddmann

intervals-icu-mcp

by eddmann

get_wellness_for_date

Fetch wellness metrics for any date, including sleep, HRV, heart rate, mood, and fatigue. Ideal for tracking daily health trends.

Instructions

Get wellness data for a specific date.

Returns all wellness metrics for the specified date including sleep, HRV, heart rate, mood, fatigue, and other health markers.

Args: date: Date in ISO-8601 format (YYYY-MM-DD)

Returns: JSON string with wellness data for the date

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
dateYesDate in YYYY-MM-DD format

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It enumerates the returned metrics and states the output is a JSON string, but it does not cover edge cases like missing data, invalid dates, or error handling. This is adequate but not rich.

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 is well-structured with a clear opening line, followed by Args and Returns sections. It is concise and front-loaded, though the Args/Returns content duplicates schema information, slightly reducing efficiency.

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 single-parameter read-only tool with an output schema, the description adequately explains the parameter format and return content. The lack of explicit comparison to sibling tools is a minor gap, but overall it covers the essentials.

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 coverage is 100%, so the schema already documents the date parameter with format. The description repeats the format and adds 'ISO-8601', which is marginal added value. Per the rubric, the baseline is 3 with full schema coverage.

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 retrieves wellness data for a specific date, listing metric categories like sleep, HRV, and mood. The phrase 'for a specific date' distinguishes it from the sibling get_wellness_data, which likely covers broader date ranges.

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 use for single-date queries via the name and phrasing, but it does not explicitly contrast with alternatives like get_wellness_data or mention when not to use this tool. No explicit guidance is provided beyond the obvious scope.

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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