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karea_create_task

Create a new task in a project with a required title and optional fields like deadline, priority, category, and markdown. The task gets a visual ID and returns its status, priority, and category.

Instructions

Create a new task in a project and return it with its visual ID (e.g. KA42), status, priority and category. Defaults when omitted: status open, priority 3, the first category of the project. Use karea_quick_task to log something already finished, or karea_doing for work in progress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slaNoDeadline: 2d, 5h, tomorrow, monday
nameYesTask title
tagsNoTags to attach. STRICT: only pass tags that already exist in this project (verify with karea_view_task or the project list). Do NOT invent new tags unless the user explicitly asked for one — a typo or a paraphrase spawns duplicate tags. When unsure, omit and ask the user.
sourceNoWhere this task came from
categoryNoCategory name
markdownNoLong-form markdown content — use for investigation findings, technical/functional docs, solution design, root cause analysis. This is the task's knowledge base.
parentIdNoParent task ID to create this as a subtask
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`.
descriptionNoTask description. Rendered as Markdown - use `**bold**`, lists, `code`, links, etc. Keep it short (a few sentences); use `markdown` for long-form docs.
jiraIssueKeyNoJIRA issue key to link (e.g. PROJ-123). Issue must exist in JIRA.
sessionLabelNoOptional short label for the linked session (e.g. "Feature draft").
closingRequisitesNoRequirements that must be met before closing. Keep each one short and concrete - 1 short sentence, ideally under ~120 chars (e.g. "Tests pass in CI", "PR approved"). Do NOT write paragraphs.
Behavior4/5

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

No annotations are provided, so the description carries the burden of disclosing behavior. It covers defaults and return values, but does not mention authentication needs, error handling, or what happens when projectId is omitted. Still, the core behavior is well described.

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?

Two sentences, no filler. The first sentence covers purpose and expected output, the second gives usage guidance. Perfectly front-loaded and concise.

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

Completeness3/5

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

With 15 parameters and no output schema, the description is relatively brief. It covers the main purpose and default behaviors, but does not explain how to use complex parameters like aiSessionId or closingRequisites. However, the schema descriptions are rich, compensating partially.

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 coverage is 100% with detailed descriptions for each parameter. The description adds value by mentioning defaults but does not elaborate on individual parameters beyond the schema. Baseline of 3 is appropriate.

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 creates a new task in a project and returns its visual ID, status, priority, and category. It distinguishes from siblings by mentioning karea_quick_task and karea_doing as alternatives for different states.

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?

The description explicitly tells when to use this tool (create a new task) and when to use alternatives (karea_quick_task for finished work, karea_doing for work in progress). It also lists defaults for omitted fields.

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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