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tom275275

Google Workspace MCP Server

by tom275275

get_task_list

Retrieve a specific Google Tasks list's details, including title, ID, and last updated time, by supplying the user's email and task list ID.

Instructions

Get details of a specific task list.

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

Returns: str: Task list details including title, ID, and last updated time.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
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

A3.6/5.0
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 burden. It clearly frames the operation as a read/retrieval and specifies the returned content, but it does not explicitly state read-only semantics, authentication requirements, or error behavior. Adequate for a simple getter, but with gaps.

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 a one-sentence purpose, followed by structured Args and Returns sections. The only redundancy is marking user_google_email as 'Required' when the schema already lists it as required; otherwise it is compact and easy to scan.

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

Completeness3/5

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

For a two-parameter read tool, the description covers purpose, parameters, and return content, making it minimally viable. However, it lacks any usage context, such as when to call it instead of list_task_lists or manage_task_list, and does not address error or auth behavior. This is a notable gap given no annotations exist.

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%, and the description compensates by defining both parameters: user_google_email as the user's Google email and required, and task_list_id as the ID of the task list to retrieve. It could add where to find the ID, but the essential semantics are clear.

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?

States a specific verb and object: 'Get details of a specific task list.' It is clearly distinguishable from siblings like list_task_lists and manage_task_list, and the return description reinforces the scope.

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 usage guidance is given. The description does not mention when to use this tool versus list_task_lists or manage_task_list, nor does it state prerequisites or alternatives. An agent must infer usage from the name and parameters.

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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