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delimit_agent_dispatch

Dispatch engineering tasks to an AI agent with specified title, priority, and constraints. Assign work to a Pro agent with optional context and tools.

Instructions

Dispatch an engineering task to an AI agent (Pro).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
titleYes
descriptionNo
assigneeNoany
priorityNoP1
tools_neededNo
constraintsNo
contextNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

There are no annotations, so the description bears full responsibility for behavioral disclosure. It does not mention side effects, permissions, or whether the task is queued or executed immediately. The description adds minimal behavioral context beyond 'dispatch'.

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, efficient sentence with no extraneous words. It front-loads the purpose effectively. Every word contributes to the core meaning.

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 the complexity (7 parameters, output schema) and the lack of parameter explanations, the description is inadequate. It does not explain the dispatch process, what happens after invocation, or how to interpret the output. Despite the presence of an output schema, the description should provide enough high-level context for correct use.

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

Parameters2/5

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

Schema description coverage is 0%, meaning the description adds no information about what each parameter does. While the schema itself provides types and defaults, the description fails to compensate or clarify parameter semantics (e.g., purpose of 'tools_needed' or 'constraints').

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states that the tool dispatches an engineering task to an AI agent (Pro). It uses a specific verb and resource, making the primary function understandable. However, it lacks explicit differentiation from sibling tools such as delimit_agent_check or delimit_agent_handoff, which prevents a score of 5.

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. Given the large number of sibling tools that involve agents, an agent would need additional context to decide between dispatching, checking, completing, or handing off a task. This omission harms usability.

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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