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timps_data_pipeline

Design ETL/ELT pipelines for dbt, Airflow, Prefect, or Dagster with monitoring and lineage. Describe your task in plain English to generate pipeline code.

Instructions

Design dbt/Airflow/Prefect/Dagster ETL/ELT pipelines with monitoring and lineage.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
requestNoPlain-English task or context for the agent.
languageNoPrimary programming language (default: python).python
Behavior2/5

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It states the intended outcome ('Design... pipelines') but does not clarify whether the tool produce code, creates files, requires credentials, or returns a plan. The lack of side-effect or output details leaves significant behavioral ambiguity.

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 concise single sentence that states the main purpose and scope without fluff. It is front-loaded with 'Design', immediately establishes what is tool does, and includes a focused list of technologies. Every word contributes value.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a description of a 2-param, no-output-schema tool, the one-liner is usable but incomplete. It lacks context on what to expect in response, prerequisites, or how it differs from many related sibling tools. An agent can select it but may not know how to effectively use it without additional clarification.

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 100% of parameters with meaningful descriptions for 'request' and 'language', so the baseline is 3. The tool description itself adds no additional parameter context beyond what the schema already provides. This meets the minimum viable threshold.

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 uses a specific verb 'Design' with a clear resource: dbt/Airflow/Prefect/Dagster ETL/ELT pipelines, adding scope via 'with monitoring and lineage.' This distinguishes it from siblings like timps_pipeline_healer, which focuses on healing, and timps_data_wrangler, which handles data manipulation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies the tool is used when someone wants to design data pipelines in specific frameworks, but it provides no explicit when-to-use/when-not-to-use guidance. It does not mention alternatives or any conditions that would make this tool the right choice versus sibling tools.

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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