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MSPbotsAI

ingrammicro-mcp

by MSPbotsAI

ingrammicro_get_freight_estimate

Read-onlyIdempotent

Estimate freight shipping costs for your SKU quantities before ordering, using destination and carrier details to inform cost-sensitive decisions.

Instructions

Estimate freight/shipping cost for a set of SKUs and quantities before placing an order — check this when shipping cost matters to the customer's decision.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
linesYesLine items to estimate: [{"customerLineNumber", "ingramPartNumber", "quantity", "warehouseId", "carrierCode"}].
requester_emailYesEmail of the person requesting this estimate (Ingram requires it).
ship_to_addressNoShipping destination(s) (used only if ship_to_address_id is not given): [{"companyName", "addressLine1/2/3", "city", "state", "postalCode", "countryCode"}].
bill_to_address_idNoBilling address suffix from onboarding.
ship_to_address_idNoIngram-issued shipping address id from onboarding. Preferred over ship_to_address.

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Install Server

TDQS

A4.1/5.0
Behavior3/5

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

Annotations already declare readOnlyHint and idempotentHint, so the description does not need to restate safety. It adds the context that this happens before order placement, but does not disclose any additional behavioral traits such as return format, side effects, or prerequisites beyond what annotations and schema already provide.

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 short, front-loaded with the core action, and includes a practical usage condition. Every sentence contributes value, and there is no redundant filler.

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 the rich input schema, output schema, and read-only/idempotent annotations, the description is complete enough for an agent to select and invoke the tool correctly. The purpose and usage context are clearly stated, and no critical information is missing.

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?

Schema description coverage is 100%, so the parameters are fully documented. The description's 'SKUs and quantities' loosely maps to the lines parameter but does not add meaningful detail beyond the schema. Baseline 3 is appropriate.

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 identifies the tool's function: estimating freight/shipping costs for SKUs and quantities before placing an order. It uses a specific verb and resource, and the 'before placing an order' context differentiates it from order-placement siblings.

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 states when to use the tool: when shipping cost matters to the customer's decision. It does not name alternatives or provide when-not-to-use guidance, but no obvious freight-estimate sibling exists, so the context is sufficient.

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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