todoist_complete_task
Mark a Todoist task as completed by providing its task ID to update your task list and track progress.
Instructions
Mark a task as completed
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | The task ID to complete |
Mark a Todoist task as completed by providing its task ID to update your task list and track progress.
Mark a task as completed
| Name | Required | Description | Default |
|---|---|---|---|
| task_id | Yes | The task ID to complete |
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Mark as completed') but doesn't cover critical aspects like whether this is a destructive mutation (likely yes), what permissions are required, how it affects task history, or what happens if the task is already completed. This leaves significant gaps in understanding the tool's behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is extremely concise at just 4 words, with zero wasted language. It's front-loaded with the core action and resource, making it immediately scannable. Every word earns its place by conveying essential information without redundancy.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a mutation tool with no annotations and no output schema, the description is insufficient. It doesn't explain what happens after completion (e.g., task moves to completed list, affects statistics), doesn't mention error conditions (e.g., invalid task_id), and provides no behavioral context beyond the basic action. The agent would need to guess about many aspects of tool behavior.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema has 100% description coverage, with the single parameter 'task_id' clearly documented. The description adds no additional parameter information beyond what's in the schema. According to scoring rules, when schema coverage is high (>80%), the baseline is 3 even with no param info in the description, which applies here.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description clearly states the action ('Mark as completed') and the resource ('a task'), making the purpose immediately understandable. However, it doesn't differentiate from sibling tools like 'todoist_reopen_task' or 'todoist_update_task' which also modify task status, leaving room for ambiguity in tool selection.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
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. It doesn't mention prerequisites (e.g., task must exist and be incomplete), contrast with 'todoist_reopen_task' for undoing completions, or explain when to use this versus 'todoist_update_task' with a status field. This lack of context makes it harder for an agent to choose correctly.
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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