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jobq_setup_bullmq

Generate BullMQ job queue setup in your project directory to configure Redis-backed queues for background jobs.

Instructions

Generate BullMQ job queue setup

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for Pro/Enterprise
directoryYesProject directory
Behavior2/5

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

With no annotations, the description carries the full burden of behavioral disclosure. It does not state what files or configuration are generated, whether the operation modifies the project directory, what the api_key is used for, or any side effects. This is a significant gap for a setup-type tool.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is very short and free of fluff, which is concise. However, it is closer to under-specification than efficient information delivery, providing minimal actionable substance beyond the tool name.

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?

For a tool with two parameters and no annotations or output schema, the description leaves important context missing: what exactly 'setup' produces, prerequisites, required inputs beyond directory, and how it relates to sibling tools. An agent could call it but cannot confidently predict behavior or side effects.

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 100%, so the schema already documents both parameters clearly. The description itself adds no parameter-level detail, so the baseline of 3 is appropriate.

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 states a specific verb ('Generate') and resource ('BullMQ job queue setup'), making the tool's basic intent clear. However, it does not differentiate from closely related siblings such as queue_setup_bullmq or jobq_setup_workers, leaving exact scope ambiguous.

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 about when to use this tool versus the many similar queue-related siblings like queue_setup_bullmq, jobq_setup_workers, or jobq_add_scheduling. The usage context is only implied by the name and short description.

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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