generate_django_app

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 doesn't state whether files are written to disk, whether an existing project is required, whether existing files could be overwritten, or what side effects generation produces. 'Generate' implies creation but gives no safety or mutation context.

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?

One efficient 11-word sentence that front-loads the verb and resource. There is zero wasted text and every word carries informational weight.

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 4-parameter tool with no annotations and no output schema, this description is thin. It doesn't explain what the api_key authenticates, whether generation targets an existing project directory, or what the outcome looks like. The presence of many similar generation siblings (scaffold_django_project, generate_django_settings) makes this ambiguity costly for an agent.

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. The description aligns 'models' with the model_names parameter but adds nothing about the api_key's role or how use_cbv affects output. With full schema coverage, the baseline 3 is appropriate.

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 states a specific verb and resource: 'Generate a Django app with models, views, and URL configuration.' The scope is concrete enough that an agent knows what artifact is produced. However, it doesn't explicitly differentiate from closely related siblings like scaffold_django_project or generate_django_settings.

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?

No when-to-use guidance is provided. The description doesn't clarify whether this generates a standalone app or adds to an existing Django project, nor does it contrast with siblings such as scaffold_django_project (full project) or generate_django_settings (settings file). An agent gets no help choosing between these overlapping tools.

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