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redesignhealth

Google Workspace MCP Server

list_calendars

Lists the calendars accessible to a specified Google user, displaying each calendar's summary, ID, and primary status.

Instructions

Retrieves a list of calendars accessible to the authenticated user.

Args: user_google_email (str): The user's Google email address. Required.

Returns: str: A formatted list of the user's calendars (summary, ID, primary status).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
user_google_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations, the description partially carries the transparency burden. It discloses the read-only nature and scope ('accessible to the authenticated user') and the return format, but omits details like error handling, authentication steps, or pagination. This adds some value beyond the schema but is not comprehensive.

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 well-structured with an Args/Returns format, front-loads the primary action, and contains no unnecessary words. It conveys all essential information efficiently.

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?

For a simple single-parameter read tool, the description covers purpose, parameter semantics, and return value characteristics. It lacks minor details like error behavior, but given the tool's simplicity and the presence of an output schema, it is reasonably complete.

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

Parameters4/5

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

The schema has zero description coverage, so the description must compensate. It provides semantic meaning for 'user_google_email' as 'the user's Google email address' and marks it required, which is helpful. However, it could add more context on where to obtain this email or format expectations.

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 states a specific verb ('retrieves') and resource ('a list of calendars'), clearly distinguishing it from sibling tools. No other sibling tool lists calendars, so it stands out.

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 provided on when to use this tool versus alternatives, nor are any exclusions or prerequisites mentioned. The description only states what it does, leaving usage context implicit.

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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