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davidmosiah

Google Health MCP

by davidmosiah

Reconcile Google Health Data Points

google_health_reconcile_data_points
Read-onlyIdempotent

Reconcile health data from multiple sources for a single data type, such as steps or heart rate. Supports filtering and pagination.

Instructions

Read a reconciled stream for one data type across sources. Supports all-sources, google-wearables and google-sources data source families.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
data_typeNoGoogle Health data type in kebab case, e.g. steps, sleep, heart-rate, daily-resting-heart-rate.steps
filterNoOptional Google AIP-160 filter expression. Use snake_case field names in filters.
page_sizeNo
page_tokenNo
privacy_modeNoOptional per-call privacy override. Defaults to GOOGLE_HEALTH_PRIVACY_MODE or structured. raw returns upstream Google Health JSON.
response_formatNomarkdown
data_source_familyNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
endpointYes
privacy_modeYes
dataYes
Behavior4/5

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

Annotations already declare read-only and idempotent behavior. The description adds useful context about the reconciled nature and source families, but does not elaborate on other aspects like pagination or error states.

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?

Two sentences, front-loaded with key information, and no unnecessary 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?

Despite an output schema being present, the description lacks details on filtering, pagination, privacy_mode, and response_format, leaving gaps for a tool with 7 parameters and 0 required.

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

Parameters2/5

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

Schema coverage is low (43%), but the description adds no parameter guidance beyond mentioning data_source_family. The schema provides reasonable descriptions, but the description should compensate for the coverage gap.

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 reads a reconciled stream for one data type across sources and specifies the supported data source families, distinguishing it from siblings like list_data_points and daily summaries.

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 gives clear context (reading reconciled data, specific families) but lacks explicit when-not-to-use or alternatives among the many sibling tools.

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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