generate_and_print

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

With no annotations, the description carries full burden. It discloses the experimental nature, that printing does not start, and general safety concerns. However, it lacks details on validation failure handling, preview format, upload implications, and prerequisites like printer lock, leaving some behavioral ambiguity.

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 relatively concise, with a clear two-paragraph structure: first paragraph explains purpose and warnings, second lists parameters. It could be slightly more streamlined, but it earns its sentences without excessive verbosity.

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?

Given the complexity (7 params, no output schema, many sibling tools), the description covers the main workflow and cautions but omits return values, preview mechanism, and prerequisites like printer lock. This leaves gaps for an agent to fully understand the tool's behavior and output.

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 coverage is 0%, but the description compensates by explaining each parameter: prompt (text), provider (with example values), style (optional hint), printer_name (default omitted), profile (slicer path), printer_id (with example), and timeout (default 600). Some parameters like style lack detail, but overall adds significant meaning beyond the schema.

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 clearly states the tool executes a full pipeline: generate, validate, slice, and upload to preview. It distinguishes from start_print and implies it is a combined operation, but doesn't explicitly differentiate from other pipeline tools like validate_and_prepare or slice_and_print.

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?

Explicitly instructs to call start_print separately after reviewing preview results, warns against printing AI-generated models, and recommends downloading from marketplaces as an alternative. This provides clear guidance on when to use the tool and when not to.

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