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JJRPF

Garmin MCP Server

by JJRPF

get_blood_pressure

Retrieve blood pressure readings from Garmin Connect for a date range. Specify start and end dates to access systolic and diastolic measurements.

Instructions

Get blood pressure data

Args: start_date: Start date in YYYY-MM-DD format end_date: End date in YYYY-MM-DD format

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
end_dateYes
start_dateYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observedv0.1.0

TDQS

B3.3/5.0
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It only says 'Get blood pressure data' and lists date arguments, but does not describe response behavior, date inclusivity, timezone handling, empty-result behavior, or any access constraints. For a health-data retrieval tool, this is a notable gap.

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 extremely concise and front-loads the core purpose in the first sentence. The parameter documentation is directly tied to the two arguments and contains no filler. Every sentence serves a clear function.

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

Completeness3/5

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

This is a simple two-parameter date-range getter, and the output schema is present, so the description does not need to explain return values in detail. However, with no annotations, no usage guidance, and minimal behavioral context, the description is only marginally adequate for an agent to call the tool safely in all cases.

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 0% description coverage, so the description must compensate for the parameters. It adds the meaningful detail that both dates are in YYYY-MM-DD format, which the schema does not provide. However, it does not clarify behaviors like inclusive/exclusive boundaries, maximum range, or what happens when start_date is after end_date.

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 operation: retrieving blood pressure data. The verb 'Get' plus the resource 'blood pressure data' is specific and makes the tool's purpose immediately recognizable. It also naturally distinguishes itself from the sibling set_blood_pressure, which is the corresponding write operation.

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?

The description provides no guidance on when to use this tool versus alternatives such as get_stats, get_body_composition, or set_blood_pressure. There is no mention of exclusions, prerequisites, or conditions that would make this tool the right choice. Usage is only weakly implied by the tool's name.

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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