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Coalesce-Software-Inc

coalesce-transform-mcp

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Parse Disk Node YAML to Workspace Body

parse_disk_node_to_workspace_body
Read-onlyIdempotent

Convert an on-disk YAML node into a cloud workspace node body for set or update operations, handling schema translation between disk and cloud formats.

Instructions

Convert an on-disk coa node YAML (the nodes/*.yml format) into a cloud workspace-node body suitable for set_workspace_node or update_workspace_node. Returns the cloud-shape object.

Use this when local-dev edits to a YAML node need to be pushed back to a cloud workspace without manually translating the schema (operation: → flat top-level, stepCounter/columnCounter → nodeID/columnID, sourceColumnReferences[] → sources[]).

For nodes that originated in the cloud, UUIDs round-trip and the cloud will treat the result as an idempotent update. For nodes authored from scratch on disk, the UUIDs are local-only — use create_workspace_node_from_predecessor or create_workspace_node_from_scratch instead of pushing this body via set/update.

Provide one of:

  • yaml: raw YAML string (will be parsed)

  • diskNode: pre-parsed disk-shape object

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior2/5

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

Annotations declare readOnlyHint=true, so conversion is read-only. The description adds context about UUID round-trip behavior. However, it describes inputs (yaml or diskNode) not present in the schema, creating a contradiction that undermines transparency.

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 moderately concise and well-structured, with purpose upfront. It is slightly verbose but earns its sentences by providing useful details and alternatives.

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?

The description explains the return value and transformation well, but the missing parameter definitions make it incomplete. Without input definition, the tool cannot be invoked correctly.

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?

The input schema has no properties, but the description demands 'Provide one of: yaml or diskNode'. This is a critical mismatch; the schema does not support these inputs, making the tool unusable as defined.

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 the tool converts on-disk YAML to a cloud workspace-node body for use with set/update tools. It specifies the format and distinguishes from sibling tools like create_workspace_node_from_predecessor.

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

Usage Guidelines5/5

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

Explicit guidance is given: use when pushing local-dev edits, avoid for scratch nodes (use alternatives). This clearly differentiates when to use this tool versus others.

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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