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Batch Quote Lanes

batch_quote
Read-only

Price MANY lanes in ONE call (parallel, ~1-3s for typical spreadsheets). Use this WHENEVER the user gives you a spreadsheet, CSV, or list of multiple lanes to quote — do NOT call warp_*_quote in a loop. Returns a single batch-quote card with one row per lane (origin → dest · mode · pallets · price · transit). Each priced lane keeps its quote_id and can be booked individually with book ("book row 3").

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
lanesYesArray of lane requests (1-50). Each row maps to one quote.

Schema Changelog

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

  1. First observed

TDQS

A5/5.0
Behavior5/5

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

The description discloses behavior beyond annotations: parallel execution, estimated timing (~1-3s), and that each lane returns a quote_id that can be booked individually. Although readOnlyHint is true, 'price' is consistent with a read-only quote generation operation. No contradictions.

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 consists of two concise sentences that front-load the core functionality and performance, followed by usage guidance and return structure. Every sentence adds essential information without redundancy.

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 large set of sibling tools (many individual quote tools), the description completely addresses the batch nature, return format, and booking capability. Even without an output schema, it sufficiently describes the output structure for an agent to use the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema coverage is 100% for the single lanes parameter. The description adds valuable semantics: 'Each row maps to one quote' and mentions that each quoted lane retains its quote_id for individual booking, which enriches understanding 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's purpose: 'Price MANY lanes in ONE call' and distinguishes it from sibling tools like warp_*_quote by explicitly instructing not to call them in a loop. The verb 'price' combined with 'batch quote lanes' makes the action and resource unambiguous.

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?

The description provides explicit usage guidance: 'Use this WHENEVER the user gives you a spreadsheet, CSV, or list of multiple lanes to quote — do NOT call warp_*_quote in a loop.' This directly tells the agent when to use the tool and when not to use alternatives, leaving no ambiguity.

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.