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Doist
by Doist

find-activity

Read-onlyIdempotent

Monitor Todoist activity to audit task completions, updates, and deletions. Filter by user, date, and event type to see who did what and when.

Instructions

Retrieve activity logs to monitor and audit changes in Todoist. Shows events from all users by default (use initiatorId to filter by specific user). To answer what someone completed in a period, including recurring task occurrences, use objectType "task", eventType "completed", and dateFrom/dateTo. For a first-person question ("what did I get done"), also set initiatorId to the current user from user-info, or the answer includes collaborators' completions. Track task completions, updates, deletions, project changes, and more with flexible filtering. Activity history availability and retention depend on the user plan.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoMaximum number of activity events to return.
cursorNoPagination cursor for retrieving the next page of results.
dateToNoExclusive end of the activity range, as an ISO 8601 date or date-time. For all events on 2026-08-02, use "2026-08-03T00:00:00-04:00". Natural-language dates such as "tomorrow" are not supported.
taskIdNoFilter events by parent task ID (for subtask events).
dateFromNoInclusive start of the activity range, as an ISO 8601 date or date-time. For all events on one local calendar day, use that day's start, for example "2026-08-02T00:00:00-04:00". Natural-language dates such as "tomorrow" are not supported.
objectIdNoFilter by specific object ID (task, project, or comment).
eventTypeNoType of event to filter by.
projectIdNoFilter events by parent project ID.
objectTypeNoType of object to filter by.
initiatorIdNoFilter by the user ID who initiated the event. A first-person question ("what did I complete") needs this: without it the results cover every collaborator. Get the ID from user-info when you do not already have it.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
eventsYesThe activity events.
hasMoreYes
nextCursorNo
totalCountYesThe total number of events in this page.
appliedFiltersYes
Behavior5/5

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

The description goes beyond the readOnly/idempotent annotations by noting that activity history availability and retention depend on the user plan, adding important limitations.

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 concise, well-structured, and every sentence provides useful information without redundancy, making it efficient for an AI agent to parse.

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?

The description covers purpose, usage examples, filtering logic, and plan limitations, and since an output schema exists, it does not need to elaborate on return values.

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

Parameters5/5

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

While the schema already describes each parameter, the description adds valuable context on how to combine parameters to achieve specific queries, such as filtering by user or object type.

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 tool retrieves activity logs for monitoring and audit, distinguishing it from other find-* tools by focusing on activity events and providing specific filtering guidance.

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?

It explicitly explains when and how to use the tool, including concrete examples such as querying completed tasks with objectType, eventType, and date ranges, and for first-person questions using initiatorId.

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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