Skip to main content
Glama

check_print_readiness

Validates a 3D model for printability by checking mesh integrity, overhangs, and build plate fit. Optionally repairs degenerate triangles, holes, and floating regions.

Instructions

Single-call print readiness check with optional auto-repair.

        Runs the full validation battery: parseable, manifold, no floating
        regions, overhangs within limits, fits build plate, no degenerate
        triangles.

        With ``auto_fix=True``, automatically repairs degenerate triangles,
        closes holes, and removes floating regions.

        :param file_path: Path to mesh file.
        :param auto_fix: Attempt automatic repairs (default False).
        :param output_path: Where to write the fixed file.
        :param bed_x_mm: Build plate X dimension (default 256).
        :param bed_y_mm: Build plate Y dimension (default 256).
        :param bed_z_mm: Build plate Z dimension (default 256).
        :param printer_id: Optional supported printer model id.  When
            provided, printer intelligence supplies the build volume.
        :returns: Dict with can_print verdict, issues, and actions taken.
        

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
auto_fixNo
bed_x_mmNo
bed_y_mmNo
bed_z_mmNo
file_pathYes
printer_idNo
output_pathNo
Behavior3/5

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

With no annotations, the description carries full burden. It discloses actions performed (validation checks, auto-repair) and return value, but fails to mention side effects like file system writes (output_path), idempotency, or potential destructive behavior. The description is adequate but incomplete.

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 well-structured with a summary, bullet lists of checks, and parameter documentation. It is appropriately detailed but slightly verbose; every sentence contributes value, though could be tightened.

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

Completeness4/5

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

Given 7 parameters, no output schema, and no annotations, the description covers the tool's purpose, parameters, and return value. It lacks error handling, prerequisites, or performance details, but is relatively complete for the tool's apparent scope.

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

Parameters5/5

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

Schema coverage is 0%, so description must compensate. It provides detailed parameter descriptions including defaults, roles, and usage notes for all 7 parameters (file_path, auto_fix, output_path, bed dimensions, printer_id). This fully explains parameter semantics beyond the schema.

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 it is a single-call print readiness check with optional auto-repair, listing the specific validation checks. However, it does not explicitly differentiate from sibling tools like 'validate_and_prepare_mesh' or 'analyze_printability', which may overlap in purpose.

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

Usage Guidelines2/5

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

The description provides context that it is a comprehensive check, but lacks explicit guidance on when to use this tool versus alternatives, no when-not recommendations, and no exclusions. It only implies usage by listing capabilities.

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

Install Server

Other Tools

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/codeofaxel/kiln'

If you have feedback or need assistance with the MCP directory API, please join our Discord server