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universalamateur

reclaim-mcp-server

create_task

Create and auto-schedule tasks in Reclaim.ai by specifying duration, deadlines, priority, and time block preferences for efficient calendar management.

Instructions

Create a new task in Reclaim.ai for auto-scheduling.

Args: title: Task title/description duration_minutes: Total time needed for the task in minutes due_date: ISO date string (YYYY-MM-DD) or None for no deadline min_chunk_size_minutes: Minimum time block size (default 15) max_chunk_size_minutes: Maximum time block size (None = duration) snooze_until: Don't schedule before this datetime (ISO format) priority: P1 (Critical), P2 (High), P3 (Medium), P4 (Low)

Returns: Created task object

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
duration_minutesYes
due_dateNo
min_chunk_size_minutesNo
max_chunk_size_minutesNo
snooze_untilNo
priorityNoP2

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

With no annotations provided, the description carries full burden but only minimally addresses behavior. It mentions the tool creates a task and returns the created object, but doesn't disclose important traits like authentication requirements, rate limits, error conditions, or what 'auto-scheduling' entails operationally.

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 efficiently structured with a clear purpose statement followed by well-organized parameter explanations and a returns section. Every sentence serves a purpose with zero wasted words, and the information is front-loaded appropriately.

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

Completeness4/5

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

Given the tool's complexity (7 parameters, mutation operation) and the presence of an output schema, the description is mostly complete. It explains all parameters thoroughly and states the return type. However, it lacks behavioral context that would be important for a mutation tool with no annotations.

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?

With 0% schema description coverage, the description fully compensates by providing clear explanations for all 7 parameters. Each parameter gets a concise definition including format requirements (ISO date string), defaults, and meaning (e.g., 'Minimum time block size'), adding significant value beyond the bare schema.

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 specific action ('Create a new task'), target system ('in Reclaim.ai'), and purpose ('for auto-scheduling'), which distinguishes it from siblings like update_task or list_tasks. It provides a complete verb+resource+context combination.

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

Usage Guidelines2/5

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

No guidance is provided on when to use this tool versus alternatives like update_task or prioritize_task, nor are there any prerequisites mentioned. The description only states what the tool does, not when it should be selected.

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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