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batch_update_tasks

Update multiple Todoist tasks in one API call, modifying fields or moving tasks between projects for efficient batch processing.

Instructions

Batch update multiple Todoist tasks in a single API call.

Uses the Todoist Sync API for efficiency — processes all operations in one request. Each operation can update fields and/or move a task to a different project. This is ideal for triage workflows where you need to process many tasks at once.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
operationsYesList of operations. Each dict must include 'id' (task ID). Optional fields: 'content' (str), 'labels' (list of label names), 'due_date' (str, natural language or YYYY-MM-DD), 'description' (str), 'project' (project name to move to).

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior3/5

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

No annotations provided, so description carries full burden. It mentions using the Todoist Sync API and processing all operations in one request, but does not disclose potential issues like partial failures, atomicity, or rate limits. The behavioral insight is adequate but not comprehensive.

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 three sentences, front-loaded with the core action, then mechanism, then use case. Every sentence serves a distinct purpose with no redundancy or filler, achieving high efficiency.

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

Completeness3/5

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

Given the tool has an output schema (per context signals), the description does not need to explain return values, but it also omits discussion of error handling or operation results. For a batch tool, completeness is moderate—sufficient for basic use but lacking depth for robust agent decision-making.

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

Parameters4/5

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

Schema coverage is 100%, but the description adds significant value beyond the schema by explaining the structure of each operation item, listing optional fields with formats (e.g., 'due_date' as natural language or YYYY-MM-DD). This meaningfully aids parameter understanding, earning above the baseline of 3.

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 'Batch update multiple Todoist tasks in a single API call', providing a specific verb-resource combination. It distinguishes from siblings like 'update_task' (single) and 'move_task' (just moving), and uses terms like 'triage workflows' to further differentiate.

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 includes 'ideal for triage workflows where you need to process many tasks at once', giving clear context for when to use. However, it does not explicitly state when not to use or mention alternatives like 'update_task' for single updates, so it lacks exclusions.

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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