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assign_task

Assign a task to a specific agent within a project, establishing clear ownership and enabling coordinated work among multiple AI agents.

Instructions

Assign a task to an agent.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_idYesTask ID
agent_idYesAgent ID to assign
project_idYesProject ID
requested_by_userNoWhether this was explicitly requested by user
Behavior1/5

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

There are no annotations, so the description carries the full burden of disclosing behavior. It only states the action without mentioning side effects, permission requirements, idempotency, or what happens to the task's previous assignee, leaving the agent uninformed about consequences.

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 single sentence is concise and front-loaded, containing no unnecessary words. However, it is minimal to the point of under-specification, but the conciseness itself is appropriate for the tool's apparent simplicity.

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 no annotations or output schema, the description should explain return values and side effects, but it does neither. The tool is a mutation with four parameters, and the description leaves the agent without enough context to use it safely or effectively.

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?

The input schema covers all parameters with descriptions, so the baseline is 3. The description adds no additional meaning beyond what the schema already provides, but the parameters are self-explanatory and the schema is sufficient.

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 'Assign a task to an agent' clearly states the action (assign), object (task), and recipient (agent), making it specific and distinguishable from related sibling tools like create_task and update_task_status.

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, such as whether the agent must belong to the project or if it should be used before updating task status. There are no exclusions, prerequisites, or contextual hints.

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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