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ticktick_mark_completion_processed

Records that a completed task has been reviewed and handled. Call after processing tasks from ticktick_get_unprocessed_completions to prevent them from reappearing.

Instructions

Records that a domain agent has processed a completed task.

Call this after reviewing each task returned by ticktick_get_unprocessed_completions. The task will no longer appear in future calls to that tool.

Args: task_id (str): Full TickTick task ID. Required. project_id (str): Project ID the task belongs to. Required. title (str, optional): Task title (stored for human-readable audit trail). completed_time (str, optional): ISO completion timestamp from the task object. notes (str, optional): Brief notes on how the completion was handled.

Returns: {"status": "ok", "task_id": "..."} on success. {"status": "already_processed", "task_id": "..."} if already recorded. {"error": "...", "status": "error"} on failure.

Usage Guide: - Call once per task after finishing your handling of it. - Example: ticktick_mark_completion_processed( task_id="abc123", project_id="your_project_id_here", title="Fix kitchen tap", completed_time="2025-06-01T19:00:00+01:00", notes="Replaced ceramic disc, resolved" )

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYes
project_idYes
titleNo
completed_timeNo
notesNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations were provided, so the description carries full burden. It discloses that calling the tool mutates state (task disappears from get_unprocessed_completions), and documents three possible return statuses (ok, already_processed, error).

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is well-structured with clear sections (description, args, returns, usage guide, example). It is slightly long but every sentence adds value; no redundancy.

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?

Given 5 parameters, no annotations, and no output schema in input schema (but described), the description covers purpose, all parameters, return values, usage sequence, and connection to sibling tool. It is complete for an agent to use correctly.

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?

Schema description coverage is 0%, but the description fully explains each parameter's purpose, format, and optionality in the Args section and example. This compensates completely for the missing schema descriptions.

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 records that a task has been processed, and explicitly connects it to ticktick_get_unprocessed_completions, distinguishing it from sibling tools like ticktick_complete_task.

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 provides explicit when-to-call instructions ('Call this after reviewing each task...'), an example, and explains that the task will no longer appear in future calls. It lacks explicit when-not-to-use, but the context is clear.

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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