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Glama

ShippingRates MCP Server

Vessel Schedule

shippingrates_vessel_schedule
Read-onlyIdempotent

Get upcoming vessel arrivals and departures at a specific port.

Use this to check what vessels are expected at a port — useful for booking planning and tracking. Returns vessel names, carriers, ETAs/ETDs, and service routes.

For transit time estimates between two ports, use shippingrates_transit. For detailed service-level routing, use shippingrates_transit_schedules.

PAID: $0.02/call via x402 (USDC on Base or Solana). Without payment, returns 402 with payment instructions.

Returns: Array of { vessel_name, carrier, voyage, eta, etd, service, from_port, to_port }.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
portYesUN/LOCODE port code — e.g. INNSA (Nhava Sheva), AEJEA (Jebel Ali), SGSIN (Singapore)
x_paymentNox402 payment proof header
days_aheadNoDays to look ahead (default: 14)

Schema Changelog

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

  1. Changed1 schema field changed
    • changedInput schema / properties / port / description
      Previous value: -"UN/LOCODE port code"New value: +"UN/LOCODE port code — e.g. INNSA (Nhava Sheva), AEJEA (Jebel Ali), SGSIN (Singapore)"
  2. Added

TDQS

A4.7/5.0
Behavior5/5

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

Annotations already state readOnlyHint, idempotentHint, and destructiveHint, but the description adds valuable behavioral context: it is a PAID endpoint ($0.02/call via x402) and returns a 402 without payment. It also discloses the return format. No contradiction with annotations.

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 well-structured and front-loaded: it states the primary action first, then usage context, alternatives, payment requirements, and return schema. Every sentence adds unique value, and it is concise without being overly terse.

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?

There is no output schema, so the description appropriately explains the return array structure. It also covers input requirements (port), optional parameters (days_ahead, x_payment), payment behavior, and tool alternatives. For a straightforward read-only tool with good annotations, this is complete.

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 baseline is 3 per the rubric. The description does not add parameter-specific detail beyond what the schema already provides (port examples, days_ahead default). It references the port and days_ahead context implicitly but does not explain parameter formats beyond schema descriptions.

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 and resource: 'Get upcoming vessel arrivals and departures at a specific port.' It clearly distinguishes from siblings by explicitly naming shippingrates_transit and shippingrates_transit_schedules as alternatives for other use cases. It also lists the exact data returned, making the tool's purpose unmistakable.

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 gives a clear when-to-use context ('check what vessels are expected at a port — useful for booking planning and tracking') and explicitly names alternative tools for transit time estimates and service-level routing. This provides strong guidance on tool selection.

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
Disambiguation4/5

Most tools have clearly distinct purposes: D&D calculator/compare/countdown, inland search/haulage/compare, and congestion/news/risk are well separated. However, the transit/vessel group (transit, transit_schedules, vessel_schedule, vessel_schedule_options) and rates vs total_cost could cause some selection ambiguity, though descriptions help differentiate them.

Naming Consistency3/5

All tools share the 'shippingrates_' prefix and snake_case, but naming patterns vary: some are action-oriented (shippingrates_dd_calculate, shippingrates_inland_compare), while others are noun phrases (shippingrates_surcharges, shippingrates_port, shippingrates_total_cost). This inconsistency could make it harder to predict tool names.

Tool Count3/5

With 26 tools, the server is on the heavier side, exceeding the typical 15-tool comfort zone. However, the broad domain of shipping rates, logistics, and regulatory data justifies the number, as each tool covers a distinct aspect. Still, the volume may overwhelm agents.

Completeness5/5

The tool set is remarkably comprehensive for a shipping rates server, covering freight benchmarks, surcharges, local charges, D&D (calculate/compare/countdown), inland haulage, transit schedules, vessel schedules, congestion, risk scoring, regulatory updates, facilities, FX, and a composite total-cost calculator. No obvious gaps for common logistics cost-analysis workflows.

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