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SoapyRED

FreightUtils MCP Server

container_lookup

Read-onlyIdempotent

Retrieve ISO shipping container specifications and calculate how many items or pallets fit inside. Supports 10 container types for loading analysis.

Instructions

Get ISO shipping container specifications and calculate loading.

Covers 10 container types: 20ft standard, 40ft standard, 40ft high-cube, 20ft/40ft reefer, 20ft/40ft open-top, 20ft/40ft flat-rack, and 45ft high-cube.

Use this tool when you need to:

  • Get internal dimensions, capacity (CBM), and weight limits

  • Find how many euro/GMA pallets fit in a container

  • Calculate how many items of a given size fit inside

Provide a container type for specs. Add item dimensions (l, w, h in cm) to calculate loading.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
typeNoContainer slug (e.g., "20ft-standard", "40ft-high-cube"). Omit to list all types.
item_length_cmNoItem length in cm (for loading calculation)
item_width_cmNoItem width in cm
item_height_cmNoItem height in cm
item_weight_kgNoItem weight in kg
item_quantityNoNumber of items
Behavior3/5

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

Annotations already declare readOnlyHint=true, destructiveHint=false, idempotentHint=true, and the description does not contradict. It adds context about the return values (specs, loading) but doesn't disclose additional behavioral traits beyond what annotations provide.

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 concise with bullet points, front-loading the main purpose. It is well-structured but could be slightly more condensed without losing clarity.

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?

Given no output schema, the description adequately explains what the tool returns (dimensions, capacity, pallet fitting, item loading). It covers all key use cases with no apparent gaps.

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?

Schema description coverage is 100%, so baseline is 3. The description adds value by explaining the 'type' parameter's slug format and that omitting it lists all types, and clarifies that item dimensions are for loading calculation. This provides context beyond the schema.

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 tool gets ISO shipping container specifications and calculates loading, listing exact container types and use cases. It distinguishes itself from sibling tools like uld_lookup or vehicle_lookup by focusing on shipping containers specifically.

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?

The description explicitly says 'Use this tool when you need to:' and lists three specific scenarios (get specs, pallet fitting, item loading). It does not explicitly mention when not to use it or alternative tools, but the guidance is clear and actionable.

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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