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karea_doing

Record what you are working on right now as an in-progress task, with options to set deadline, priority, category, and link your AI coding session.

Instructions

Create a task you are working on right now (status: in_progress)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slaNoDeadline: 2d, 5h, tomorrow, monday
categoryNoCategory name
priorityNoPriority 1-5 (1=critical)
toolTypeNoOptional: your AI provider ("claude-code" / "opencode" / "codex" / "cursor" / "aider" / "other"). Required when aiSessionId is supplied.
projectIdNoProject name or ID
aiSessionIdNoOptional: your current AI CLI session ID. When paired with toolType, atomically links this session to the affected task (equivalent to calling karea_link_session, but saves the round-trip). For Claude Code use the id from `claude --resume`.
descriptionYesWhat you are doing
sessionLabelNoOptional short label for the linked session (e.g. "Feature draft").
Behavior2/5

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

No annotations provided, so description must disclose all behavioral traits. It only states creation with status in_progress, omitting side effects like session linking (described in param details) or potential overwrites.

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 a single focused sentence front-loading purpose with no wasted words, though it could expand slightly on usage without losing conciseness.

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

Completeness2/5

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

With 8 parameters, no output schema, and no annotations, the description is too sparse. It lacks return value info, error handling, and prerequisites, leaving the agent underinformed for a complex creation tool.

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

Parameters3/5

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

Schema description coverage is 100%, with thorough param descriptions (e.g., sla examples, priority range). The tool description adds no extra meaning beyond the schema, earning baseline 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 the verb (create), resource (task), and a specific status (in_progress), distinguishing it from siblings like karea_create_task which likely creates a task without setting status.

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

Usage Guidelines3/5

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

The description implies use when starting an active task but does not explicitly mention alternatives like karea_create_task or karea_quick_task, nor provide when-not-to-use guidance.

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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