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Lalamove MCP by usefulapi

List cities, vehicles and special requests

lalamove_list_cities
Read-only

The cities of the connected market with the vehicle types (serviceType keys such as MOTORCYCLE or CAR), their size and load, and the special requests each vehicle accepts. Use these exact keys in lalamove_create_quotation. GET /v3/cities.

Input Schema

NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.2/5.0
Behavior3/5

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

Annotations already declare readOnlyHint=true, openWorldHint=true and destructiveHint=false, so the safety profile is covered. The description adds the underlying endpoint (GET /v3/cities), which is useful context, but says nothing about auth requirements, rate limits, or market scoping behavior — only that results are limited to the connected market.

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?

Two compact sentences with zero filler: the resource and its contents come first, the downstream usage second, and the endpoint last. Every sentence earns its place.

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?

With no output schema, the description carries the burden of describing return content, and it does so reasonably well: cities, vehicle types and their keys, size and load, and accepted special requests. It stops short of describing the response shape or ordering, but an agent has enough to call and parse it.

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?

The tool takes zero parameters, so there is no parameter semantics to explain; baseline is 4. The description does usefully pre-announce the serviceType keys that appear in the response and will be reused as inputs elsewhere.

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 states a specific verb and a rich resource: it lists the cities of the connected market together with vehicle types, their size and load, and the special requests each accepts. This is clearly distinguishable from sibling operations like quotation creation or order tracking, and it names the concrete key field (serviceType) the agent will encounter.

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?

It gives a concrete downstream usage instruction — use these exact keys in lalamove_create_quotation — which tells the agent why and when to call this tool before quoting. It does not state explicit exclusions or when not to call it, so it falls short of a full 5.

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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