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etl_schedule_setup

Schedule ETL pipeline runs with cron expressions, choose a scheduler library, and set up dependencies and monitoring for reliable execution.

Instructions

Pro: Set up ETL pipeline scheduling with cron jobs, dependency management, and monitoring

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyNoAPI key for authentication
frequencyNoCron expression for scheduling0 */6 * * *
pipelinesYesPipeline names to schedule
schedulerNoScheduling librarybullmq
Behavior2/5

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

With no annotations, the description carries the full behavioral burden but only says 'Set up' without explaining side effects, required authentication, whether existing schedules are modified, or what 'dependency management and monitoring' actually involve. These behaviors are asserted without any schema fields or context to support them.

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 description is a single short sentence with minimal waste, front-loading the main action. The 'Pro:' prefix adds little value and the trailing feature list is vague, but the overall size is appropriate for a simple setup tool.

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 configuration tool with no annotations and no output schema, the description is incomplete. It does not explain what happens after scheduling is set up, what 'dependency management and monitoring' means operationally, what authentication is required via api_key, or how this tool fits into the broader ETL and job scheduling workflow.

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 all four parameters. The description adds 'cron jobs' which maps to the frequency parameter, but it does not clarify the scheduler enum, the required pipelines array, or the api_key beyond what the schema already states.

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 names a specific verb and resource: 'Set up ETL pipeline scheduling with cron jobs, dependency management, and monitoring'. This distinguishes it from the ETL design and transform siblings, though it does not explicitly contrast with scheduling tools like jobq_add_scheduling or queue_setup_bullmq.

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?

There is no guidance on when to use this tool versus alternatives such as etl_design_pipeline, etl_generate_transforms, jobq_add_scheduling, or workflow tools. The description implies a setup use case but does not state prerequisites, when it is preferred, or what distinguishes it from other schedulers.

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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