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hub_task_add

Add tasks to a shared cross-project backlog, specifying assignee, deadline, tags, resources, and dependencies to coordinate work across teams.

Instructions

Add a task to the shared cross-project backlog.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
byYesthe function you are performing, e.g. "dev-hubd". NOT which model you are — that is read from the transcript, and many sessions share a model. NOT a queue role either: a role is a mailbox (see hub_queue_wait), this is who is at it.
catNoone of technical | communicative | decision | chore. Anything else is kept — as a tag, not a category: the four values are the axis every by-type number is counted on, so it stays closed.
tagsNofree-form labels — the open vocabulary next to the closed cat one
textYes
projectYes
assigneeNoagent name or owner, optional
deadlineNoYYYY-MM-DD, optional
resourcesNoresource slugs this task touches (host/vm/service/...) — a structured link task → resource, not prose
depends_onNotask ids this task waits on (bare number or a node-scoped id like "planck-3")
importanceNodefault normal
Behavior2/5

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

No annotations are provided, so the description must carry the full behavioral burden. It merely says 'Add a task' without disclosing side effects, permission requirements, idempotency, or return format. The added context 'shared cross-project backlog' clarifies scope but not behavior.

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 a single sentence, front-loaded with the verb and object, and every word contributes. There is no fluff or redundancy.

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?

Given 10 parameters, a write operation, and no annotations or output schema, a single sentence is insufficient to fully orient the agent. The rich schema descriptions help, but the description omits usage conditions, return behavior, and relationship to sibling task tools.

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 80%, so the schema already documents most parameters. The description itself adds no parameter-level detail beyond what the schema provides; per rubric, high coverage yields a baseline of 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 states a specific action — 'Add a task' — with a clear resource ('shared cross-project backlog'), distinguishing it from read/update task siblings like hub_task_list, hub_task_get, and hub_task_update. The scope is explicit and not generic.

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 given on when to use this tool versus alternatives, no exclusions are mentioned, and sibling tools are not referenced. The single sentence provides only the core action without context for selection.

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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