3DPACK.ING — Container & Truck Load Planning
Server Details
Plain-English shipment input for freight & logistics: containers your cargo fits, 3D load plan.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- OnurGumus/3dpacking-mcp
- GitHub Stars
- 0
- Server Listing
- 3dpacking-mcp
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Tool Definition Quality
Average 4.7/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of confusion between tools. The single tool has a clear, unambiguous purpose: it handles the entire shipment packing process.
The sole tool name 'pack_shipment' follows the verb_noun pattern, which is clear and consistent. Since there is only one tool, consistency is trivially maintained.
A single tool is on the thin side for a server, but it is a comprehensive all-in-one tool for load planning. While the count feels minimal, it may be acceptable for such a specialized domain.
The tool fully covers the shipment packing workflow: it accepts cargo details and constraints, computes the packing, returns container needs, fill levels, and leftovers, and provides an interactive plan. No obvious gaps in the domain.
Available Tools
1 toolpack_shipmentPack a shipment into containers or trucksAInspect
Work out how a shipment fits into shipping containers, trucks or pallets, using a real 3D bin-packing solver. Describe the cargo in plain English -- quantities, dimensions, weights, and any constraints such as fragile, non-tiltable, max stack height or a preferred container type -- and get back which containers are needed, how full each one is, anything that did not fit, and a link to an interactive 3D load plan.
Use this instead of estimating from volume. Volume arithmetic ignores stacking rules, orientation and weight limits, and overstates what fits by a wide margin on real cargo.
| Name | Required | Description | Default |
|---|---|---|---|
| speed | No | How hard the solver should look for a better arrangement. Omit to let it choose. Use 'fast' for a quick feasibility check, 'thorough' when the packing quality matters. | |
| prompt | Yes | The shipment, in plain English. Include quantities, dimensions with units, and weights if known. Examples: "Pack 50 boxes of 60x40x30 cm into a 20ft container"; "Load 100 fragile items 80x60x40cm, max stack 3, into a 40ft high cube"; "Ship mixed pallets: 10x euro pallets, 15x US pallets, best container mix". Truncated at 4000 characters. |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden. It discloses that it uses a real solver, describes the return values (containers, fullness, unfitted items, link to interactive plan), and explains the input format. It doesn't mention edge-case behavior like impossible loads or limits, but the core behavior is well covered.
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 two concise paragraphs, each earning its place. The first explains capabilities and outputs; the second gives usage guidance. No redundant or filler content.
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?
For a tool with no output schema, the description sufficiently explains what the agent should expect as output. It also covers input requirements, examples, and a rationale for choosing this tool. Given the complexity of the domain, this is complete enough for an agent to select and invoke correctly.
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%, so baseline is 3. The description adds value by giving concrete prompt examples and clarifying how to phrase cargo constraints (fragile, non-tiltable, stack height), going beyond the schema's brief description. The speed parameter is well explained in the schema, so no additional description is needed there.
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 states a clear, specific purpose: using a 3D bin-packing solver to determine how a shipment fits into containers, trucks, or pallets. It also lists concrete outputs (containers needed, fullness, unfitted items, 3D load plan), making the tool's function unmistakable.
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?
The description explicitly says to use this tool instead of estimating from volume, explaining why volume arithmetic is inadequate. This provides clear when-to-use guidance, even without sibling tools to contrast with.
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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