Skip to main content
Glama
partymola

google-health-mcp

health_get_food_log

Get daily calories and water intake for a date range, using cached or live data. Omits days without logging.

Instructions

Get daily food and water log summary.

Returns calories consumed and water intake (in mL) per day. Only populated where the user logs food or water by hand in a connected app. Returns from cache by default, auto-syncing if stale.

Args: start_date: Start date as "YYYY-MM-DD", "YYYY-MM", or "30d". Default: last 30 days. end_date: End date as "YYYY-MM-DD". Default: today. live: If true, re-fetch this window from the API before reading the cache.

Returns one entry per day with calories_in and water_ml. Days with no logging are omitted.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
liveNo
end_dateNo
start_dateNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

With no annotations provided, the description carries the full behavioral disclosure burden. It discloses that only hand-logged data appears, that cache is used by default with auto-sync, that 'live' forces a re-fetch, and that empty days are omitted. This goes well beyond a simple one-line summary and gives the agent accurate expectations.

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 concise (~110 words), front-loaded with the main purpose, and organized into clear sections for behavior, arguments, and return values. Every sentence adds useful information; there is no fluff or repetition.

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

Completeness5/5

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

Given the tool's moderate complexity—optional date handling, cache semantics, and a live override—the description covers all necessary context. It even describes the return shape despite an output schema being present, making the tool self-sufficient for an agent.

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

Parameters5/5

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

The input schema has 0% description coverage, so the tool description must compensate, and it does. It explains start_date formats including '30d', default behavior for both dates, and the meaning of 'live' in the context of cache re-fetching. This is meaningful semantic value beyond the raw schema.

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 uses a specific verb plus resource ('Get daily food and water log summary') and clearly differentiates this tool from siblings by scoping it to food/water logging and calorie/water intake. It states exactly what data is returned, leaving no ambiguity about the tool's function.

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?

The description provides clear context on when this tool is appropriate: it covers food/water logs from connected apps, only includes hand-logged entries, and explains cache versus live behavior. It does not explicitly name alternative tools or state when not to use it, but the context is sufficient for selection among related health tools.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/partymola/google-health-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server