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redesignhealth

Google Workspace MCP Server

get_task

Retrieve detailed information for a specific task by providing the Google user email, task list ID, and task ID. Get title, notes, status, due date, and more from Google Tasks.

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
Behavior3/5

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

No annotations are provided, so the description must carry transparency. It discloses the return value format ('Task details including title, notes, status, due date, etc.') but does not mention error behavior, auth requirements, or side effects. Since this is a read operation with minimal risks, the description covers the essential behavior but lacks depth.

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 concise and well-structured with sections for Args and Returns. Each sentence serves a purpose, no redundancy. It is minimally sized while still providing parameter details and return information.

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?

The tool is simple (fetch by three required IDs) and an output schema exists (string). The description explains what the return string contains. It does not cover error cases or prerequisites beyond the required parameters, but given the low complexity and presence of 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.

Parameters5/5

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

Schema description coverage is 0%, but the description's Args section provides clear explanations for every parameter (e.g., 'The ID of the task list containing the task'). This fully compensates for missing schema descriptions, adding meaning that the JSON schema alone does not provide.

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 uses a specific verb 'Get' and clearly identifies the resource: 'details of a specific task'. It distinguishes itself from siblings like 'list_tasks' (plural, listing) and 'get_task_list' (list-level). The phrase 'specific task' signals singular retrieval by ID.

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 from the required IDs (user_google_email, task_list_id, task_id) but does not explicitly state when to use this tool versus alternatives such as 'list_tasks' or 'search_tasks'. No exclusions or alternative tool names are mentioned, so context is implied rather than explicit.

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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