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ltl_get_fuel_surcharge

Get current LTL carrier fuel surcharge percentages and the DOE diesel price that triggered each rate. Avoid browsing JS-rendered carrier tariff pages. Data is cached for fast response and includes verifiability block for audit confidence.

Instructions

Returns current LTL carrier fuel surcharge percentages and the DOE diesel price that triggered each rate. Data is extracted weekly from carrier tariff pages and cached — response time <500ms. Use this instead of browsing carrier websites: those pages are JS-rendered, PDFs, or require session state that makes raw browsing unreliable. Covers ODFL and SAIA (Sprint 1-2); Estes, ABF, R+L, TForce arriving in Sprint 4. Each response includes a _verifiability block with extraction timestamp and confidence score — check this before using the data in a freight cost calculation or invoice audit.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
carriersNo
weeksNo
include_doe_priceNo

Output Schema

TableJSON Schema
NameRequiredDescriptionDefault
resultYes
Behavior5/5

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

No annotations provided, so description carries full burden. It thoroughly discloses caching (<500ms), weekly extraction, data source (tariff pages), carrier coverage, and verifiability block, with no contradictions to annotations.

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?

Description is information-dense and front-loaded with core purpose, but a bit lengthy and includes future sprint plans which could be separated. Nonetheless, every sentence earns its place.

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

Completeness2/5

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

Despite thorough behavior description, the complete absence of parameter explanations creates a significant gap in completeness, especially with 0% schema coverage and no annotations to fall back on.

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

Parameters1/5

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

Schema coverage is 0% (no parameter descriptions in schema). Description fails to explain any of the three parameters (carriers, weeks, include_doe_price), leaving the agent without necessary usage details.

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?

Description clearly states the tool returns LTL fuel surcharge percentages with DOE diesel price, and explicitly distinguishes from browsing carrier websites, which is a specific verb+resource with sibling differentiation.

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?

Explicitly states when to use (instead of browsing unreliable carrier websites) and mentions caching and carrier coverage scope, though lacks explicit when-not-to-use conditions.

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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