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generate_migration_from_models

Generates a migration file from Pydantic model definitions, creating SQL tables that match the model schemas. Returns the migration code as a string for immediate use.

Instructions

Generate a migration file from Pydantic model definitions.

Parses model definitions and creates a migration that creates tables matching the model schemas. Returns the migration code as a string.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
db_pathNoapp.db
models_codeYes
migration_nameNoauto_migration

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

C2.9/5.0
Behavior2/5

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

With no annotations, the description must fully disclose behavior, but it ambiguously says 'Generate a migration file' while also 'Returns the migration code as a string.' It does not clarify whether it writes to disk or only returns the string, nor does it mention side effects or error behavior.

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 two sentences, front-loaded with the main purpose and concise expansion. Every sentence earns its place with no filler or repetition.

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?

Despite having an output schema, the description fails to cover key contextual aspects: parameter semantics are missing, side effects are ambiguous, and no usage guidance is provided. The agent would struggle to invoke the tool correctly, especially regarding db_path and migration_name.

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 schema has 0% description coverage and the description names no parameters. It does not explain that models_code is the required Pydantic code, nor does it mention db_path or migration_name, leaving the agent without essential parameter meaning.

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 generates a migration file from Pydantic model definitions, and further details that it parses models and creates table-creating migration code. This is a specific verb+resource and is distinct from sibling tools like validate_model_schema or deploy_wsqlite_scaffolding.

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 provides no guidance on when to use this tool versus alternatives, nor any prerequisites or expected context. It does not mention when-not-to-use or reference sibling tools.

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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