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export_adaptive_slicer_config

Convert adaptive slicing plans to slicer-compatible configuration for PrusaSlicer, OrcaSlicer, Cura, or generic format.

Instructions

Export an adaptive slicing plan as slicer-compatible configuration.

Converts a plan to the target slicer's format — PrusaSlicer and
OrcaSlicer use variable layer height data, Cura uses adaptive
layers plugin format.

Args:
    plan_data: Plan dict from ``generate_adaptive_slicing_plan``.
    slicer: Target slicer — "prusaslicer", "orcaslicer", "cura",
        or "generic".

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
slicerNoprusaslicer
plan_dataYes
Behavior1/5

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

No annotations provided, and the description does not disclose any behavioral traits like side effects, permissions required, or whether it is read-only. For a tool that exports data, safety and mutability are unclear.

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

Conciseness4/5

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

The description is concise, front-loaded with purpose, and uses a clean list for args. Every sentence adds value; no wasted words.

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 no output schema, the description does not explain what the result looks like (file, string, config object). It also lacks error handling info or prerequisites beyond the plan source. More detail on output format and constraints is needed.

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

Parameters3/5

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

With 0% schema coverage, the description adds meaning to both parameters: explains plan_data comes from generate_adaptive_slicing_plan, and slicer lists allowed values. However, plan_data structure is not detailed beyond being a dict.

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

Purpose4/5

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

The description clearly states the verb 'Export' and resource 'adaptive slicing plan', and distinguishes it from siblings like generate_adaptive_slicing_plan by specifying it converts to slicer-compatible configuration, listing specific slicers.

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

Usage Guidelines3/5

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

The description implies usage after generating a plan via the mentioned function, and provides context on slicer targets, but no explicit when-not-to-use or alternative 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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