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queue_setup_bullmq

Create BullMQ queues by specifying names, Redis connection, and optional dashboard. Configure job priorities and rate limits for reliable background processing.

Instructions

Set up BullMQ queues with job definitions, priorities, and rate limiting

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for authentication
redis_urlNoRedis connection URLredis://localhost:6379
queue_namesYesNames of queues to create (e.g. 'email', 'image-processing')
include_dashboardNoWhether to include Bull Board dashboard setup
Behavior2/5

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

With no annotations available, the description carries the full burden of behavioral disclosure. It does not state whether this tool creates, overwrites, or mutates existing queues, whether Redis must already be available, or whether the setup has side effects like installing dependencies or starting background services.

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 focused sentence with no filler or repetition. It front-loads the verb and resource and packs in the most relevant configuration aspects without becoming verbose.

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?

This is a moderate-complexity setup tool with four parameters, no annotations, and no output schema, but the description only gives a minimal summary. It omits behavior, prerequisites, alternatives, and what the caller should expect after execution, leaving important operational gaps.

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 structured schema already documents all four parameters clearly. The description adds high-level domain context ('job definitions, priorities, and rate limiting') but does not map these to specific parameters or explain parameter interactions beyond what the schema provides.

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 uses a specific verb and resource ('Set up BullMQ queues') and names key configuration areas: job definitions, priorities, and rate limiting. However, it does not distinguish this tool from closely related siblings such as jobq_setup_bullmq or queue_setup_workers, so an agent may not know which queue-setup tool to choose.

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 about when to use this tool versus alternatives like jobq_setup_bullmq or queue_setup_workers. There are also no prerequisites, exclusions, or conditions stated, so the agent must infer the appropriate context from the name alone.

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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