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Coalesce-Software-Inc

coalesce-transform-mcp

Official

Set Workspace Node

set_workspace_node
Idempotent

Update a workspace node's full body. Reads current state, merges changes, validates, and writes back, preserving column linkages and metadata automatically.

Instructions

Update a workspace node's full body. Reads current state, merges changes, validates, and writes back.

This is the primary mutation tool for workspace nodes. It handles column linkage preservation, passthrough transform stripping, required API field injection, and metadata cleaning automatically.

Args:

  • workspaceID (string, required): The workspace ID

  • nodeID (string, required): The node ID

  • body (object, required): Fields to update — name, description, nodeType, config, metadata.columns, etc.

Returns: { nodeID, created, warning?, validation?, configCompletion? }

Do NOT set overrideSQL or metadata.sourceMapping through this tool. Use apply_join_condition or convert_join_to_aggregation for join/aggregation changes.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
bodyYesComplete node data to set. Common fields include name, description, nodeType, table, database, schema, locationName, storageLocations, config, and metadata. Do not include overrideSQL — it is auto-preserved.
nodeIDYesThe node ID
workspaceIDYesThe workspace ID

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
nodeIDNo
createdNo
warningNo
nextStepsNo
validationNo
joinSuggestionsNo
configCompletionNo
nodeTypeValidationNo
configCompletionSkippedNo
Behavior5/5

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

Beyond annotations (readOnlyHint=false, destructiveHint=false, idempotentHint=true), the description details the read-merge-write process, automatic handling of column linkages, passthrough transforms, API field injection, and metadata cleaning. It explains the return structure, adding significant 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?

The description is well-structured with a summary, behavior paragraph, bullet-point args, return info, and usage warnings. It is front-loaded but slightly lengthy; every sentence adds value, so it earns a 4.

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

Completeness4/5

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

Given the tool's complexity (nested objects, 3 required params), the description covers the update process, automatic behaviors, and return fields. It could mention relationship with get_workspace_node for reading state, but overall it's complete enough for an agent to use correctly.

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

Parameters4/5

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

Schema coverage is 100%, so baseline is 3. The description adds value by listing typical body fields (name, description, nodeType, config, metadata.columns) and warns against including overrideSQL (auto-preserved). This aids understanding beyond the schema's descriptions.

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 clearly states the tool updates a workspace node's full body with merge semantics. It identifies itself as the 'primary mutation tool' and lists automatic behaviors, distinguishing from tools like apply_join_condition. However, it does not differentiate from the sibling tool 'update_workspace_node', which may cause confusion.

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?

Explicit guidance is given on when to use (for workspace node updates) and when not to use (avoid setting overrideSQL or metadata.sourceMapping, use apply_join_condition/convert_join_to_aggregation for joins/aggregations). It lacks explicit mention of when to prefer alternative mutation tools like update_workspace_node.

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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