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

With no annotations, the description carries the full burden and discloses key behaviors: 'FREE', 'Fair-use limited (counts as one slice per printer)', and 'for a .zip (first printable model inside is used)'. It does not explicitly state read-only status or error handling, but the slicing/comparison nature makes side effects unlikely and the rate-limit/zip rules are useful disclosures.

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 dense single paragraph that front-loads the core action and then covers input formats, local file upload, fair-use limits, and a use-case tag. No sentences are wasted; it is somewhat long but justified given the tool's complexity.

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?

The tool has 17 parameters and no output schema, but the schema richly explains parameters. The description explains the output table (print time/filament/cost/fits-on-bed, cheapest/fastest picks) and gives input URL types and the upload workaround. It lacks edge-case handling like invalid URLs or errors, but is sufficient for core usage.

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 100% and every parameter has a clear description (e.g., printer list examples, model_url formats). The tool description repeats model_url input guidance but adds no new parameter-level meaning beyond what the schema already provides, so 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 opens with 'Slice the same model across several printers and get a table of print time / filament / cost / fits-on-bed, plus the cheapest and fastest picks.' This names a specific verb (slice/compare), the resource (printers and model), and the output (table), and clearly distinguishes it from sibling tools like slice_model or cost_breakdown.

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?

It gives a clear use case: 'Perfect for "which of my printers should I use?"' and explains accepted input URL types plus the local upload workaround. However, it does not explicitly exclude alternatives like cost_breakdown or slice_model, so it lacks definitive when-not-to-use guidance.

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