seed_from_schema

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

No annotations are provided, so the description carries the full burden of behavioral disclosure. It implies reading schema and generating scripts, but does not state whether files are written to disk, whether existing files are overwritten, whether database connectivity/auth is required, or what side effects occur.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single tight, front-loaded sentence with no filler. It efficiently communicates the core action and mechanism.

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

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

For a generation tool with no annotations and no output schema, the description should clarify what the generated seed scripts look like, where they are written, and any required environment context. These are absent, leaving an agent under-informed about invocation outcomes.

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

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

Schema description coverage is 100%, so the schema already documents all four parameters including the orm enum and path examples. The description adds little beyond confirming the tool relates to schema/ORM introspection, which matches the schema but does not enrich it.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('auto-generate') and resource ('seed scripts') and names the mechanism ('introspecting database schema or ORM models'). It is clear, though it does not explicitly contrast with close siblings like seed_generate_data or data_generate_from_schema.

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

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

The description provides no guidance on when to choose this tool over alternatives, nor any exclusions or prerequisites. An agent must infer from the name that it is for schema-based seed script generation.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.