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create_transformation

Create a new dbt SQL transformation by specifying model name, SQL body, materialization type, and target schema.

Instructions

Create a new dbt SQL transformation.

Requires --allow-write.

Args: name: Model name (letters, digits, underscores, hyphens; must start with letter or _). sql_body: dbt-compatible SQL (supports ref(), source(), Jinja). materialization: 'view', 'table', 'incremental', 'ephemeral', or 'snapshot'. description: Optional description. schema_name: Target schema (default 'staging').

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
nameYes
sql_bodyYes
descriptionNo
schema_nameNostaging
materializationNoview

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior3/5

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

With no annotations provided, the description carries full burden. It discloses that the tool is a write operation and requires --allow-write, but does not discuss side effects, idempotency, error cases, or response behavior. The output schema exists but is not mentioned.

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, starting with the purpose in one line, followed by a structured list of arguments. Every sentence adds value, and the format is easy to scan.

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?

The description covers all parameters and key constraints, with an output schema present to handle return values. It lacks details on conflicts, limits, or full lifecycle behavior, but is sufficient for a create operation.

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

Parameters5/5

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

Schema coverage is 0%, but the description compensates fully: it explains each parameter with constraints (e.g., name format, SQL features, materialization options) and defaults. This adds significant meaning beyond the schema's type definitions.

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 dbt SQL transformation', specifying the action (create) and resource (dbt SQL transformation). This distinguishes it from sibling tools like list_transformations or preview_transformation.

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?

The description mentions the requirement 'Requires --allow-write' but provides no guidance on when to use this tool versus alternatives (e.g., update or import). No exclusions or context for selection are given.

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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