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Skeptomenos

google-workspace-mcp-advanced

by Skeptomenos

get_task

Retrieve detailed information about a specific task, including title, notes, status, and due date, using the task list and task IDs.

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
user_google_emailYes
task_list_idYes
task_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior2/5

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

No annotations are provided, so the description carries full burden. It does not disclose important behavioral traits such as side effects, authentication needs, rate limits, or error handling (e.g., what happens if the task does not exist).

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 front-loaded with the purpose and includes a structured Args/Returns section. It is concise without unnecessary words, though it could be slightly more compact.

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 the tool's simplicity (3 required parameters, no nested objects) and the presence of an output schema (though a simple string), the description adequately covers the tool's functionality. However, it lacks information on error scenarios.

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 input schema has 0% description coverage, but the description provides clear explanations for each parameter (e.g., 'user_google_email (str): The user's Google email address. Required.'), adding significant meaning beyond the 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 clearly states the action ('Get') and resource ('details of a specific task'), distinguishing it from sibling tools like list_tasks, update_task, and delete_task.

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 implies usage context (requires task IDs) but does not explicitly state when to use this tool versus alternatives like list_tasks or update_task.

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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