Skip to main content
Glama

create_subtasks

Break down complex tasks into manageable steps by creating multiple subtasks under a parent task in Todoist, using fuzzy matching to identify the parent.

Instructions

Create multiple subtasks under a parent task. Parent is found by name (fuzzy match).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
parent_task_nameYesName of the parent task
subtask_stringsYesArray of subtask content strings
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the action is 'Create multiple subtasks,' implying a write operation, but doesn't cover critical behaviors like error handling (e.g., if parent isn't found), side effects, permissions required, or response format. The fuzzy match detail adds some context, but overall, behavioral traits are under-specified for a mutation tool with no annotation coverage.

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 a single, efficient sentence that front-loads the core action ('Create multiple subtasks under a parent task') and adds necessary detail ('Parent is found by name (fuzzy match)'). Every word earns its place, with no redundancy or fluff, making it highly concise and well-structured for quick comprehension.

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

Completeness2/5

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

Given the tool's complexity as a mutation operation with no annotations and no output schema, the description is incomplete. It lacks details on error scenarios, what happens on success (e.g., return values), or how subtasks are structured (e.g., ordering, IDs). While concise, it doesn't compensate for the missing structured data, leaving gaps for an agent to operate effectively.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

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

Schema description coverage is 100%, with both parameters ('parent_task_name' and 'subtask_strings') documented in the schema. The description adds minimal value beyond the schema by mentioning 'fuzzy match' for the parent, which clarifies the matching behavior but doesn't provide additional syntax or format details. This meets the baseline of 3 for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create multiple subtasks') and the target resource ('under a parent task'), with the specific mechanism of parent identification ('found by name (fuzzy match)'). It distinguishes from siblings like 'create_task' by focusing on subtasks rather than standalone tasks, though it doesn't explicitly mention all siblings. The purpose is specific and actionable.

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?

The description provides no guidance on when to use this tool versus alternatives like 'create_task' for standalone tasks or 'update_task' for modifying existing tasks. It mentions the parent is found by fuzzy match, which hints at usage context, but lacks explicit when/when-not instructions or prerequisites. This leaves the agent to infer usage from tool names alone.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/ajmastra/todist-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server