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rwestergren

io.github.rwestergren/cronometer-api-mcp

by rwestergren

get_biometrics

Read-onlyIdempotent

Fetch recorded biometric values (weight, body fat, etc.) from Cronometer as daily data points over a date range.

Instructions

Get a biometric time series such as weight or body fat from Cronometer.

Returns the recorded values over the date range as a list of {day, value} points.

Use list_biometrics to find metric_id and unit_id (e.g. Weight is metric_id 1, with unit_id 1 for kg or 2 for lbs).

Args: metric_id: Numeric metric ID from list_biometrics. unit_id: Numeric unit ID from the metric's units in list_biometrics. start_date: Start date as YYYY-MM-DD (defaults to 30 days ago). end_date: End date as YYYY-MM-DD (defaults to today).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
unit_idYes
end_dateNo
metric_idYes
start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

Annotations already declare readOnlyHint, openWorldHint, idempotentHint. Description adds return format and date range defaults, no contradictions. Doesn't detail pagination limits, but sufficient for the tool's nature.

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?

Efficient: first sentence states purpose, then return format, then prerequisite, then parameter details. No unnecessary words.

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?

With output schema present, description adequately explains return format. Covers all 4 parameters, distinguishes from siblings. Could mention any limits, but satisfactory.

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

Parameters4/5

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

Schema coverage is 0%, so description carries full burden. It explains metric_id and unit_id come from list_biometrics, and start_date/end_date defaults. Adds meaning beyond schema types.

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?

Clearly states it retrieves a biometric time series (weight, body fat) from Cronometer, returns {day, value} points. Distinct from sibling list_biometrics which is for discovery.

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?

Explicitly advises using list_biometrics to find metric_id and unit_id first. Provides default date ranges. Lacks explicit when-not-to-use, but clear prerequisite makes it useful.

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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