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tom275275

Google Workspace MCP Server

by tom275275

get_task

Retrieve complete details of a task, including title, notes, status, and due date, by specifying its task list ID and task ID.

Instructions

Get details of a specific task.

Args: user_google_email (str): The user's Google email address. Required. task_list_id (str): The ID of the task list containing the task. task_id (str): The ID of the task to retrieve.

Returns: str: Task details including title, notes, status, due date, etc.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYes
task_list_idYes
user_google_emailYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observedv1.14.3

TDQS

A3.9/5.0
Behavior3/5

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

No annotations are provided, so the description carries the behavioral disclosure burden. 'Get details' and the Returns note make clear this is a read-only retrieval, but it does not address authentication, permissions, or error cases.

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 and front-loaded with the core purpose, followed by a terse Args and Returns breakdown. No filler is present, though the Args block somewhat mirrors the schema field names.

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 retrieval tool with three required string parameters, the description documents all parameters and the return summary. An output schema is present, so return-value details are handled. The main missing piece is explicit usage guidance versus sibling tools.

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?

Schema description coverage is 0%, so the description must compensate. It explains each parameter's meaning: user_google_email is the user's Google email, task_list_id identifies the containing list, and task_id identifies the task to retrieve. This adds real semantics over the bare property names.

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 begins with a clear, specific verb and resource: 'Get details of a specific task.' It distinguishes this from siblings like list_tasks and manage_task by focusing on retrieval of one task's details.

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 intended use is implied by 'specific task' and the required IDs, but the description does not explicitly state when to use this tool versus list_tasks or manage_task, and it offers no exclusions or alternative routing.

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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