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tasks_add

Add a task to the dependency-aware ready queue. Define dependencies that must finish first to unblock it.

Instructions

Add a task to the dependency-aware ready queue. depends_on lists task ids that must finish first (done or dropped unblocks); each must exist and must not create a cycle. The task is 'ready' once it has no open/in_progress blocker.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyNooptional details / acceptance criteria (aliases: content, text)
planNooptional plan slug (plan:<slug> convention) that composes this task as a step of a plan. Plan steps are excluded from the default ready-queue and surfaced under the plan filter.
titleYesshort task title
projectNoproject slug; defaults to the bound/ambient session's project. An unknown slug CREATES that project -- naming a new one is normal and never an error. Pass project=global ONLY for knowledge that belongs in EVERY project's briefing; it is not a neutral default. With no session and no explicit project the call is rejected as ambiguous. A session bound to a confidential or sealed project can write ONLY into that project.
depends_onNotask ids this task is blocked by (a comma-separated string is also accepted)
Behavior5/5

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

Beyond the annotations (readOnlyHint=false, etc.), the description discloses key behaviors: dependencies must exist and be acyclic, done/dropped unblocks, and the task becomes ready once no blockers remain. This adds valuable context about side effects and constraints.

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?

Three sentences, front-loaded with purpose, each sentence providing essential information: the action, dependency semantics, and ready condition. No wasted words.

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 the tool's complexity (dependencies, project scoping, plan integration), the description covers the core behavioral rules sufficiently. No output schema exists, but the description explains the primary success condition (task becomes ready) and dependency constraints, making it complete for an agent to reason about.

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?

The description adds significant meaning to depends_on by specifying validation rules (existence, cycle prevention) and the unblocking condition, which the schema does not cover. It also clarifies the 'ready' state relative to depends_on, enriching the schema's generic parameter 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 opens with a specific action and resource: 'Add a task to the dependency-aware ready queue.' It clearly distinguishes this from sibling tools like tasks_update (modify) and tasks_claim (claim), focusing on creation with dependency semantics.

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 clear context for when to use the tool: when adding a task with dependencies that participates in the ready queue. It also explains the 'ready' condition and plan-step exclusion, but does not explicitly name alternatives or state when not to use it.

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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