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EU ETS Voyage Carbon Exposure Evidence

voyage-carbon-compliance-evidence

Calculate deterministic EU ETS voyage exposure from buyer-supplied vessel, route, and fuel facts using pinned official fixtures. Get gas, fuel, segment, truth-ledger, confidence, limitation, and receipt evidence without provider calls or an automatic legal decision. — $0.02/call, x402 (USDC on base).

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
legsYesOrdered array of 1–8 voyage legs linking the supplied port calls. Each leg includes its UTC interval and bounded fuel-consumption evidence.
modeYesChoose `decision` for buyer-supplied voyage facts or `synthetic_demo` for the fixed no-charge example. Runtime enforces the fields allowed in each mode.
portCallsYesOrdered array of 2–9 buyer-supplied port-call facts. IDs must be unique and are referenced by voyage legs and optional berth-consumption records.
requestIdYesBuyer correlation ID copied into the evidence receipt. Decision mode requires `rq_` plus 32 lowercase hexadecimal characters; demo mode uses `public-demo-v1`.
berthRecordsYesOptional array of up to 18 berth fuel-consumption records linked to port calls. Supply an empty array when no berth consumption evidence is available.
schemaVersionYesContract version for validation and output interpretation. Enter `1.1.0`; other values are rejected before any Dataset delivery.

TDQS

A4.2/5.0
Behavior4/5

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

Annotations specify readOnlyHint=false, openWorldHint=true, idempotentHint=false, and destructiveHint=false. The description adds valuable context: 'deterministic', 'pinned official fixtures', 'without provider calls', 'no automatic legal decision', and the cost/payment mechanism ($0.02/call, x402 USDC on base). It does not contradict the annotations; while it doesn't fully disclose potential side effects of a non-read-only operation, the 'calculate/get' wording and demo mode suggest computation rather than external mutation.

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 compact and front-loaded: three sentences cover purpose, inputs, method, outputs, and even pricing/payment. Each sentence carries new information and there is no filler or redundancy. This is an optimally concise yet informative description.

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?

For a complex tool with six parameters and no output schema, the description gives a useful overview of output categories (gas, fuel, segment, truth-ledger, confidence, limitation, receipt evidence) and clarifies it is not a legal decision provider. It omits explicit mention of runtime modes (decision vs synthetic_demo) and cross-field validation rules, but the detailed input schema covers those, so the combination is sufficiently complete for an agent to invoke it correctly.

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?

The input schema has 100% description coverage, with each parameter fully documented (patterns, enums, constraints, formats). The description adds little parameter-specific detail beyond a high-level characterization of inputs as 'buyer-supplied vessel, route, and fuel facts', which is already implied by the schema. It meets the baseline for heavily described schemas but does not compensate or augment the schema meaningfully.

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 opens with a specific verb 'Calculate' and a clear object ('deterministic EU ETS voyage exposure'), names inputs ('buyer-supplied vessel, route, and fuel facts') and method ('pinned official fixtures'). It then enumerates output types (gas, fuel, segment, truth-ledger, confidence, limitation, receipt evidence), which clearly distinguishes it from sibling tools that cover unrelated maritime/trade domains (e.g., panama-canal-queue, strait-of-hormuz).

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 conveys a clear use-case: calculating EU ETS exposure from buyer-supplied facts, and explicitly notes it operates 'without provider calls or an automatic legal decision', which defines appropriate vs. inappropriate use. However, it does not name alternative tools or provide an explicit 'when not to use' list beyond those boundaries, making the guidance clear but not exhaustive.

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

A4.3/5.0
Disambiguation5/5

Each tool targets a distinct logistics evidence domain: container exceptions, Panama Canal, bunker/tanker, Strait of Hormuz, voyage carbon, and pricing metadata. There is no overlap in purpose or resource type, so an agent can easily select the correct tool.

Naming Consistency5/5

All tool names follow the same pattern: lowercase descriptive noun-phrases joined by hyphens (e.g., 'container-exception-evidence', 'panama-canal-queue-transit-imbalance'). The style is uniform and predictable, making the set feel cohesive.

Tool Count5/5

With six tools, the server is well-scoped for a specialized evidence bundle. Each tool provides a distinct service, and pricing_info serves as a necessary meta-tool for onboarding. This is an appropriate size for the stated purpose.

Completeness4/5

The tools cover a diverse range of trade and logistics evidence scenarios, including container events, canal transits, fuel demand, strait flow recovery, and carbon compliance. While there are always possible additions (e.g., customs or general tracking), the current set covers the core evidence needs without obvious dead ends.

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