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Glama

set_blood_pressure

Record blood pressure readings with systolic, diastolic, and pulse values, adding optional notes, to track cardiovascular health in Garmin Connect.

Instructions

Set blood pressure values

Args: systolic: Systolic pressure (top number) diastolic: Diastolic pressure (bottom number) pulse: Pulse rate notes: Optional notes

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
notesNo
pulseYes
systolicYes
diastolicYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv0.1.0

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations provided, the description carries the full burden of behavioral disclosure. It identifies the operation as 'Set' but does not clarify whether this appends a new reading or overwrites an existing one, what units are expected, or what happens on invalid input. These are material unknowns for a health-data write operation.

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 compact with a clear front-loaded purpose line followed by a structured args list. Every sentence earns its place, and the arg documentation is not redundant given the schema's 0% description coverage. Minor room for improvement: the arg list could be folded into prose or trimmed.

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?

The tool is simple (4 scalar params, no nesting) and an output schema exists, so return-value documentation is not needed. The main gaps are units, the append-vs-replace write semantics, and expected value ranges—each of which an agent would want to know before recording health data. Adequate but not complete.

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 0%, so the description must compensate. It adds useful disambiguation ('top number' vs 'bottom number') and marks notes as optional, which the bare schema titles do not convey. However, it omits units (mmHg, bpm), valid ranges, and any context on how values are interpreted, so the compensation is only partial.

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 states a specific verb ('Set') and resource ('blood pressure values'), clearly identifying the operation. It is not a tautology and the set/get contrast with the sibling get_blood_pressure makes the intent unmistakable, though the description does not explicitly name that sibling.

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 given on when to use this tool versus alternatives. There is no mention that this tool records a new blood pressure reading as opposed to fetching existing data via get_blood_pressure, nor any note about prerequisites (e.g., user authorization). The intended use is implied only by the tool's name, not stated.

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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