Skip to main content
Glama

Get Todoist Task

todoist_get_task
Read-onlyIdempotent

Retrieve detailed information about a specific Todoist task using its unique ID, including content, due dates, priority, labels, and project details.

Instructions

Retrieve a single Todoist task by its ID.

Returns full task details: content, description, due date, priority, labels, project/section IDs, comment count, and creation timestamp.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYesThe task ID to retrieve
response_formatNoOutput format: 'markdown' for human-readable, 'json' for machine-readablemarkdown
Behavior4/5

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

Annotations already cover read-only, non-destructive, idempotent, and open-world hints. The description adds value by specifying the return format options (markdown/json) and listing the detailed fields included in the response, which provides useful context beyond the annotations. No contradictions with annotations are present.

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 front-loaded with the core purpose in the first sentence, followed by a concise list of return details. Both sentences earn their place by providing essential information without redundancy, making it efficient and well-structured.

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 low complexity, rich annotations, and 100% schema coverage, the description is mostly complete. It lacks an output schema but compensates by detailing return fields. However, it could slightly improve by mentioning error handling or prerequisites, though not critical for this simple retrieval tool.

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 clear descriptions for both parameters. The description does not add significant meaning beyond the schema, as it only mentions the task_id parameter implicitly ('by its ID') and does not elaborate on response_format beyond what the schema provides. Baseline 3 is appropriate given high schema coverage.

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 specific action ('retrieve a single Todoist task') and resource ('by its ID'), distinguishing it from sibling tools like todoist_get_tasks (plural) and todoist_get_project. It precisely defines what the tool does without being vague or tautological.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines4/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage context ('by its ID') for retrieving a specific task, but does not explicitly state when to use this versus alternatives like todoist_get_tasks for multiple tasks or todoist_get_project for project details. It provides clear intent but lacks explicit comparison or exclusion guidance.

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/christulino/todoist-v1-mcp-server'

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