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Get Multi-stop FTL Quote

multistop_quote
Read-only

Quote a multi-stop FTL route: ONE truck visits 3+ stops in order (first pickup → intermediate stops → final delivery). Use for milk runs, pool distribution, or multi-store replenishment on a single truck — for a simple A→B truckload use ftl_quote. Auth required (free account). Coverage is route-dependent — not every route has a rate yet.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
palletsNoTotal pallets riding the route (default 1)
commodityNoCommodity description
stop_zipsYes5-digit ZIPs of the intermediate stops, in route order (at least 1)
pickup_zipYes5-digit ZIP of the first pickup stop
pickup_dateYesPickup date YYYY-MM-DD
delivery_zipYes5-digit ZIP of the final delivery stop
vehicle_typeNoVehicle code (default DRY_VAN_53)
total_weight_lbsNoTotal weight across all freight in lbs (default 500 per pallet)

Schema Changelog

Changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. First observed

TDQS

A4.4/5.0
Behavior4/5

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

Annotations already indicate readOnlyHint=true, and the description adds context about route ordering, authentication requirements, and coverage limitations. No contradictions detected.

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?

Three sentences cover purpose, use cases, alternative, and caveats. No redundancy; every sentence adds value.

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

Completeness4/5

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

Lacks output schema but describes the tool's behavior, scope, and limitations well. Outperforms a bare-bones description but could mention return format or error scenarios.

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 schema already details each parameter. The description provides no additional parameter-level meaning beyond what's in the schema, meriting a baseline score.

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 defines the tool as quoting a multi-stop FTL route with a specific order (first pickup → intermediate stops → final delivery). It distinguishes itself from the sibling tool 'ftl_quote' by contrasting multi-stop vs simple A→B.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines5/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Explicitly states when to use (milk runs, pool distribution, multi-store replenishment) and when not to (simple A→B, use ftl_quote). Also notes authentication requirement and coverage dependency.

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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TDQS

A4.1/5.0
Disambiguation5/5

Each tool has a clearly distinct purpose. Overlapping tools like batch_quote, compare_modes, and per-mode quote tools are clearly differentiated by their scope and use cases. Batch vs single booking are also distinct.

Naming Consistency4/5

Most tools follow a verb_noun pattern in snake_case (e.g., batch_quote, list_bookings). A few like 'analytics' and 'events' are noun-only but still clear. Overall consistent with minor deviations.

Tool Count4/5

26 tools cover a broad logistics domain including quoting, booking, tracking, documents, and account management. While slightly heavy, each tool serves a specific function and the count is reasonable for the scope.

Completeness5/5

The tool set appears complete for freight operations: all major modes quoted, single/batch/multi-stop booking, tracking, documents, invoices, history, and account management. No obvious missing CRUD operations.