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BerkKilicoglu

Google Health Fitbit MCP

Google Health Data Inventory

google_health_data_inventory
Read-onlyIdempotent

Plan Google Health API calls by inventorying supported data types, auth scopes, and privacy modes without making server requests.

Instructions

Inventory supported Google Health data types, auth scopes, privacy modes and recommended first calls without calling Google APIs.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
response_formatNomarkdown

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
authNo
kindYes
linksYes
notesYes
scopesYes
sourceYes
totalsYes
mcp_nameYes
categoriesYes
unofficialYes
first_toolsYes
api_boundaryNo
generated_atYes
privacy_modesYes
data_access_modelYes
recommended_agent_flowYes
Behavior4/5

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

Annotations already declare readOnlyHint, idempotentHint, destructiveHint false. The description adds valuable context that the tool operates without calling Google APIs, informing the agent of no network side effects or latency. No contradiction with annotations.

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 a single sentence that is front-loaded with the core action and key outputs. Every word adds value with no redundancy or wasted space.

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?

Given an output schema exists, the description does not need to explain return values. It lists the included information (data types, auth scopes, privacy modes, recommendations), which is sufficient for an inventory tool. Could mention the output format, but the output schema likely covers that.

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 one optional param with 0% description coverage. The description does not mention the param, but the param (response_format) is self-explanatory from its enum. The low coverage would normally require compensation, but the trivial nature of the param makes this acceptable. Score 3 as minimal but adequate.

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 clearly states it inventories supported Google Health data types, auth scopes, privacy modes, and recommended first calls. However, it does not explicitly differentiate from similar sibling tools like google_health_data_type_coverage, although the additional items (auth scopes, privacy modes, recommendations) provide implicit distinction.

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 hints at usage by noting 'without calling Google APIs' and 'recommended first calls', suggesting it is a safe, informational starting point. However, it lacks explicit when-to-use, 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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