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Coalesce-Software-Inc

coalesce-transform-mcp

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Get Column Lineage

get_column_lineage
Read-onlyIdempotent

Trace a column's full pipeline lineage from its sources to all dependent columns across nodes.

Instructions

Trace a specific column through the entire pipeline — upstream to its sources and downstream to every column that depends on it.

Args: workspaceID: Workspace to query nodeID: Node that contains the column columnID: Column ID to trace

Returns: Array of column lineage entries with nodeID, nodeName, nodeType, columnID, columnName, direction (upstream/downstream), and depth. Uses column-level references (metadata.columns[].sources[].columnReferences[]) to trace the full path.

Requires a lineage cache — will fetch all workspace nodes with detail=true on first call.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIDYesNode ID containing the column
columnIDYesColumn ID to trace lineage for
workspaceIDYesWorkspace ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIDNo
columnIDNo
nodeNameNo
upstreamNo
columnNameNo
downstreamNo
totalUpstreamNo
totalDownstreamNo
Behavior5/5

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

Annotations already mark the tool as read-only and idempotent. The description adds critical behavioral context: it requires a lineage cache and will fetch all workspace nodes with detail=true on first call, a side effect not in annotations.

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 concise (5 sentences), front-loaded with purpose, and each sentence adds value: purpose, parameters, return format, underlying method, prerequisite.

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

Completeness5/5

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

The description fully covers inputs, outputs (including return format), and prerequisites (lineage cache). Given the output schema exists, the return details suffice. No gaps remain.

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?

All three parameters have schema descriptions (100% coverage), so the description's parameter listing adds no new meaning. Baseline 3 is appropriate.

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 clearly states 'Trace a specific column through the entire pipeline — upstream to its sources and downstream,' specifying the verb (trace) and resource (column). It distinguishes from similar tools like get_upstream_nodes that trace nodes, not columns.

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

Usage Guidelines4/5

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

The description implies usage for column-level lineage tracing, contrasting with node-level siblings. However, it lacks explicit when-to-use or when-not-to-use statements, though the context is clear.

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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