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task_batch_drop

Cancel multiple OmniFocus tasks in one batch operation. Dropped tasks become inactive but remain in the database, with per-task success or failure reporting.

Instructions

Cancel (drop) many OmniFocus tasks in a single JXA round trip. Dropped tasks remain in OmniFocus but are treated as cancelled/inactive — they do not appear in active task lists. Use task_batch_delete for permanent removal. Validation is atomic: if any input fails schema, the whole batch is rejected before any mutation. Execution is best-effort: each drop succeeds or fails independently, and the response reports per-index outcomes. Prefer this tool over repeated task_drop calls whenever dropping more than one task. Each item is { id }. Returns { dropped: [{index, value: { id, name }}], failed: [{index, errorCode, message}] } — value carries the task name so the agent can describe each drop without a follow-up read. Side effects: writes to OmniFocus, sets meta.syncPending = true. Call sync_trigger when you need changes to appear on other devices. Example: task_batch_drop({ items: [{ id: "abc123" }, { id: "abc456" }] })

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
itemsYesArray of { id } items. Must contain at least one item.
idempotency_keyNoIdempotency key for retry-safe batches. Replays within the TTL window return the cached envelope with meta.idempotentReplay = true. See docs/idempotency.md.
Behavior5/5

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

Given no annotations, description fully discloses atomic validation, best-effort execution, per-index outcomes, side effects (writes to OmniFocus, sets syncPending), return format with task names, and need to call sync_trigger for cross-device changes.

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?

Single paragraph with front-loaded purpose, then details. No redundant words. Each sentence adds new information.

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?

Despite no output schema or annotations, description provides complete picture: purpose, behavior, return format, side effects, example. Sufficient for agent to use correctly.

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 covers both parameters fully (100% coverage). Description adds value by explaining idempotency key behavior (replays within TTL return cached envelope) beyond schema description.

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?

Clearly states it cancels (drops) many OmniFocus tasks in a single JXA round trip. Distinguishes from sibling tools like task_batch_delete and task_drop by specifying batch nature and permanence difference.

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

Usage Guidelines5/5

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

Explicitly advises to prefer this over repeated task_drop calls when dropping more than one task, and clarifies to use task_batch_delete for permanent removal. Also explains atomic validation and best-effort execution.

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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