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create_task

Add a new task to Todoist with title, due date, priority, labels, and optional details like project, section, or sub-tasks.

Instructions

Create a new task in Todoist.

Args: content: The task title/content (required). description: Optional description text. project_id: Optional project ID to add the task to. section_id: Optional section ID within a project. parent_id: Optional parent task ID (for sub-tasks). due_string: Optional due date in natural language (e.g. 'tomorrow', 'every monday', 'Jan 23'). due_date: Optional due date in YYYY-MM-DD format. priority: Priority from 1 (normal) to 4 (urgent). Default is 1. labels: Optional comma-separated label names (e.g. 'work,urgent').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
contentYes
descriptionNo
project_idNo
section_idNo
parent_idNo
due_stringNo
due_dateNo
priorityNo
labelsNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior4/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It explains each parameter's effect (e.g., due_string for natural language dates, priority scale). However, it does not mention edge cases like invalid project_id or limitiations, so it's slightly incomplete.

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 efficiently structured with a clear opening statement followed by a labeled list of parameters. Every sentence adds value, and the format makes it easy for an AI to scan.

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

Completeness5/5

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

Given the tool's complexity (9 parameters) and the presence of an output schema, the description covers all parameter semantics adequately. It does not need to explain return values as those are in the output schema.

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%, so the description must compensate. It explains every parameter's purpose and format (e.g., 'due_string: Optional due date in natural language', 'priority: Priority from 1 (normal) to 4 (urgent)'). This adds substantial meaning beyond the schema's name and type.

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 'Create a new task in Todoist', specifying the verb (create) and resource (task). This distinguishes it from sibling tools like update_task, delete_task, close_task, etc.

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 implicitly conveys that this tool is for creating tasks, but it does not provide explicit guidance on when to use it versus alternatives, nor does it mention when not to use it or any prerequisites.

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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