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Glama

ShippingRates MCP Server

Search ShippingRates Data

shippingrates_search
Read-onlyIdempotent

Search current customer-published ShippingRates datasets by keyword.

Matches certified port codes/names, reviewed carrier identities, published transit services, and published local-charge names/carriers. Uncertified families remain empty and legacy rows are never used as a fallback.

FREE — no payment required.

Returns: { query, results: { ports, shipping_lines, trade_lanes, regulatory, local_charges } }.

Related tools: Use shippingrates_port for structured port lookup by UN/LOCODE, shippingrates_lines for full carrier listing.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
keywordYesSearch term — e.g. "maersk", "mumbai", "hapag-lloyd"

Schema Changelog

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

  1. First observed

TDQS

A4.6/5.0
Behavior4/5

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

Annotations already cover read-only, idempotent, and non-destructive hints. The description adds valuable context: it discloses that uncertified families return empty results, legacy rows are not fallback, and provides a structured return shape (query and results categories). It also notes the tool is FREE. These go beyond annotation defaults, earning a 4.

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 with the primary action and scope. It then covers behavioral constraints, return format, and related tools in a logical sequence. Every sentence adds distinct value; no filler or redundancy.

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 one-parameter search tool without an output schema, the description provides sufficient context: what is searched, what is excluded, the result envelope, and sibling alternatives. It could mention result ordering or pagination, but the current detail is adequate for correct invocation.

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

Parameters4/5

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

Schema coverage for the single parameter is 100%, but the description enhances meaning by providing concrete examples ('maersk', 'mumbai', 'hapag-lloyd') and clarifying the types of search terms relevant. This guidance helps the agent construct effective queries beyond the schema's generic 'Search term' description.

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 function: 'Search current customer-published ShippingRates datasets by keyword.' It enumerates specific matchable entities (port codes/names, carrier identities, transit services, local-charge names/carriers) and distinguishes itself from siblings by naming dedicated tools for structured lookup. The scope is 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 explicitly provides alternatives: 'Use shippingrates_port for structured port lookup by UN/LOCODE, shippingrates_lines for full carrier listing.' It also implies when not to expect results by stating that uncertified families remain empty and legacy rows are never used as a fallback, guiding the agent on appropriate invocation.

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.