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Coalesce-Software-Inc

coalesce-transform-mcp

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Create Project

create_project

Create a new Coalesce project on Snowflake, Databricks, Starburst, or Spark. Specify name and target platform; optionally add git integration.

Instructions

Create a new Coalesce project.

Args:

  • name (string, required): Project name

  • platformKind (enum, required): Target platform — 'snowflake', 'databricks', 'starburst', or 'spark'

  • description (string, optional): Project description

  • gitAccountID (string, optional): Git account to link

  • gitRepo (string, optional): Git repository URL

  • gitBranch (string, optional): Default git branch

Returns: Created project object with assigned ID.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYesName for the new project
gitRepoNoGit repository URL
gitBranchNoDefault git branch name
descriptionNoOptional project description
gitAccountIDNoGit account ID to link to the project
platformKindYesTarget platform for the project

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
idNo
nameNo
messageNo
Behavior4/5

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

Annotations indicate readOnlyHint false and destructiveHint false, confirming modification but not destruction. The description adds that it returns a created project with an assigned ID, providing useful post-creation behavior. No contradictions.

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, front-loaded with the purpose, followed by a clean list of parameters and return value. Every sentence adds value with no waste.

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?

Given the tool's complexity, full schema coverage, annotations, and output schema, the description is complete. It covers purpose, parameters, and return value without gaps.

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?

Schema coverage is 100%, so the schema already describes each parameter. The description repeats parameters with types and required status, which is redundant but reinforces the information. It does not add meaningful new semantics beyond the schema.

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 'Create a new Coalesce project' with a specific verb and resource. It is distinct from siblings like update_project, get_project, and delete_project, which focus on update, read, or delete operations.

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 does not explicitly state when to use this tool versus alternatives. While it's implied for creation, there is no guidance on prerequisites or exclusions. With many siblings, more explicit context would help.

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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