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schwarztim

Bambu Lab MCP Server

by schwarztim

set_nozzle

Configure nozzle diameter to select appropriate printing profiles for Bambu Lab 3D printers, ensuring optimal print quality and material flow.

Instructions

Set the nozzle diameter (for printing profile selection)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
diameterYesNozzle diameter in mm (e.g., 0.4, 0.6, 0.8)
Behavior2/5

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

With no annotations provided, the description carries full burden for behavioral disclosure. It states the action ('Set') implying a write operation, but doesn't clarify if this requires specific permissions, affects print quality immediately, or has side effects (e.g., invalidating current print settings). For a mutation tool with zero annotation coverage, this is a significant gap in transparency.

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?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's front-loaded with the core action and resource, making it easy to parse. Every part of the sentence contributes meaning, earning a top score for conciseness.

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

Completeness3/5

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

Given the tool's moderate complexity (a single-parameter mutation), no annotations, and no output schema, the description is minimally adequate. It covers the basic purpose but lacks details on behavioral implications, usage context, or return values. This results in a score of 3, indicating it meets minimum viability but has clear gaps.

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?

The input schema has 100% description coverage, with the 'diameter' parameter well-documented in the schema itself. The description adds minimal value beyond the schema by mentioning 'printing profile selection,' which provides context but no additional parameter details. This meets the baseline of 3 when schema coverage is high.

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 action ('Set') and the resource ('nozzle diameter'), with additional context about its purpose ('for printing profile selection'). It distinguishes itself from siblings like 'set_temperature' by focusing on nozzle configuration rather than thermal settings. However, it doesn't explicitly differentiate from all possible alternatives, keeping it at a 4 rather than a 5.

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 no guidance on when to use this tool versus alternatives. It doesn't mention prerequisites (e.g., printer must be idle), exclusions (e.g., not during active printing), or related tools (e.g., 'printer_set_speed' for other adjustments). This leaves the agent with minimal context for appropriate invocation.

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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