3DPACK.ING — Load Planning
Server Details
Load planning for containers, trucks and pallets from a plain-English description; 3D plan link.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
- Repository
- OnurGumus/3dpacking-mcp
- GitHub Stars
- 0
- Server Listing
- 3dpacking-mcp
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.
For cargo that must not overhang -- drums, glass, anything that must stay level -- set stability. It is the one constraint the prompt cannot express, because it governs how the solver stacks rather than what is being shipped.
| 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. | |
| stability | No | How much of a box must rest on what is underneath it, as a percentage of its own footprint. Omit for the standard rule of 75, which allows a quarter of a box to overhang and packs the most. Raise it for cargo that must not lean -- drums, glass, anything top-heavy -- and use 100 when every stacked box has to sit fully supported. A higher value is steadier and fits fewer items, so expect more containers or more left over. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
With no annotations, the description carries the full transparency burden and handles it well. It reveals what the tool returns, what it accounts for (stacking rules, orientation, weight limits), and the behavioral effect of stability ('A higher value is steadier and fits fewer items'). No destructive or surprising behavior is hidden.
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?
Three short paragraphs with no redundancy: purpose and outputs first, usage guidance second, a targeted parameter tip last. Every sentence earns its place, and the most important information is front-loaded.
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?
The description is complete despite no output schema: it summarizes return values, explains the main input format via the schema and examples, and covers the key constraint. There are no siblings to disambiguate, and the description stands alone effectively.
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 meaningful extra context for stability by noting it is 'the one constraint the prompt cannot express,' which clarifies its role beyond the schema's explanation. Other parameters are already fully documented in the schema, so the net additional value is modest but real.
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 specific action ('Work out how a shipment fits into shipping containers, trucks or pallets'), a method ('real 3D bin-packing solver'), and concrete outputs (containers needed, fullness, non-fitting items, 3D plan link). It also differentiates itself from the volume-estimation approach, making its purpose 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?
It explicitly says 'Use this instead of estimating from volume' and explains why, which gives clear when-to-use guidance. It also instructs when to set the stability parameter for cargo that must not overhang, adding practical usage context.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- First observed
pack_shipment
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TDQS
Only one tool exists, so there is no possibility of selecting the wrong tool due to overlapping purposes. pack_shipment unambiguously handles all load-planning requests.
The single tool has a clear, descriptive verb_noun name. With only one tool there is no convention mismatch to penalize.
One tool is on the low side compared to the typical 3–15 range, but it is appropriate here because the server has a narrow purpose and the tool is a comprehensive end-to-end packing operation.
The tool covers the full load-planning request/response workflow: plain-English cargo and constraint input, container selection, fill rates, not-fit items, and a 3D plan link. No obvious gap exists for the stated purpose.