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kewinall

Data Platform MCP Server

by kewinall

get_etl_pipeline_dependencies

Retrieve producer-classified ETL dependencies for a pipeline to trace data flows and assess downstream impact before making changes.

Instructions

Return producer-classified ETL step/workflow dependencies.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
pipeline_idYes

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes

Schema Changelog

Changes observed during successful MCP inspections.

  1. Addedv0.5.0

TDQS

C2.7/5.0
Behavior2/5

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

No annotations exist, so the description carries the behavioral burden. It only says 'Return' and gives no detail on read-only safety, failure modes, required permissions, or how dependencies are classified; the vague 'producer-classified' qualifier adds minimal behavioral context.

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?

One sentence with no filler; the action verb is front-loaded. It is efficient but arguably too terse to carry the explanatory weight needed elsewhere.

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 one-parameter read tool with an output schema, the description is minimally usable: the agent can infer to pass pipeline_id. But it lacks usage guidance and any explanation of 'producer-classified', so it is not complete enough to confidently distinguish from closely related pipeline tools.

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

Parameters1/5

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

Schema description coverage is 0%, and the description never explains pipeline_id or how it relates to the returned dependencies. The description adds no parameter meaning beyond the bare parameter name and type.

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?

States a clear verb and resource: return dependencies of an ETL pipeline, qualified as producer-classified step/workflow dependencies. It does not explicitly contrast with sibling tools like get_etl_pipeline_steps or get_etl_table_lineage, so it misses the differentiation needed for a 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 about when to use this tool versus siblings such as get_etl_pipeline_steps or get_etl_table_lineage. There are no prerequisites, exclusions, or alternative-tool routing in the description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.