Skip to main content
Glama

check_step_support

Checks available STEP import backends and provides installation guidance if missing, indicating whether the user can resolve it.

Instructions

Check which STEP import backends are available on this system.

        Returns a dict listing each backend (FreeCAD, Gmsh, the OCCT
        kernel, CadQuery) with its availability status and priority.
        If none is found,
        includes ``install_help`` (prose) and ``remedy`` (structured) —
        prefer ``remedy``: its ``actionable_by_caller`` flag tells you
        whether the user can fix this (``kiln install-step-backend``) or
        whether they're on a hosted server where they cannot.

        Call this before ``import_step_file`` to verify the system is
        ready for STEP conversion.
        

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

No annotations provided, so description carries full burden. It discloses the return structure (dict with backends, availability, priority, install_help, remedy) and how to use the results (prefer remedy). No contradictions.

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

Conciseness5/5

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

Concise and well-structured. Each sentence adds value: purpose, return details, conditional fields, usage guidance. No fluff, and front-loaded with main purpose.

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

Completeness5/5

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

No output schema, but description adequately explains return values and their interpretation. Given no parameters and clear workflow integration, the description is complete.

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

Parameters4/5

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

No parameters exist, so schema coverage is 100%. With 0 parameters, baseline is 4. Description does not need to add parameter info.

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

Purpose5/5

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

The description clearly states the purpose with a specific verb ('Check') and resource ('STEP import backends available on this system'). It distinguishes itself from sibling tools like import_step_file by indicating this is a prerequisite check.

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

Usage Guidelines4/5

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

Explicitly instructs to call before import_step_file to verify readiness. Provides guidance on interpreting the remedy field, especially the actionable_by_caller flag. No explicit alternatives mentioned, but the context is clear.

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