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gh33k

Apple Health Chat MCP

by gh33k

health_export_metrics

Retrieve specific Apple Health metrics with optional date filtering and aggregation to analyze your health data.

Instructions

Get specific metric data with optional filtering and aggregation

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateNoEnd date for the data (YYYY-MM-DD format)
start_dateNoStart date for the data (YYYY-MM-DD format)
aggregationNoAggregation function to apply to the metric data
metric_nameYesName of the metric to retrieve
Behavior2/5

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

With no annotations, the description carries full responsibility for behavioral disclosure. It only says 'Get' and does not describe return format, pagination, authentication needs, or any side effects, which is insufficient for a data retrieval tool.

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 concise sentence that front-loads the primary action and resource. No wasted words.

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

Completeness2/5

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

Given the lack of an output schema and the existence of a similarly named sibling tool, the description is incomplete. It doesn't explain what the returned data looks like or when this tool should be preferred over get_metrics, leaving the agent with insufficient context.

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?

The schema has 100% coverage for all four parameters, so the description does not need to add much. It does hint at 'optional filtering and aggregation' which maps to start_date/end_date and aggregation parameters, but adds no syntax or detailed semantics beyond the schema.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the tool retrieves metric data with filtering and aggregation options. However, it does not differentiate from the sibling 'health_export_get_metrics', which appears to serve a similar purpose.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus the alternatives such as health_export_query, health_export_report, or health_export_get_metrics. There is no mention of use cases or exclusions.

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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