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Lilambd Data for Agents

regions

States and Provinces of the World + Land Stats. Every first-level administrative region on Earth, ready for dropdowns, maps, games and analytics. Routes: /search (q, country, sort, limit, offset); /{iso3166_2}. Paid $0.005 USDC per call via x402 (_meta["x402/payment"]); set sample=true for a free 3-row preview.

Input Schema

NameRequiredDescriptionDefault
routeYesOne of: /search, /{iso3166_2}. Replace {placeholders} with a value, e.g. /search or /HND.
paramsNoQuery parameters, e.g. {"q":"tokyo","limit":"50"}
sampleNoFree preview, max 3 rows

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A4.1/5.0
Behavior4/5

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

With no annotations, the description carries the full burden and does well: it discloses that calls cost $0.005 USDC via x402, where the payment goes (_meta["x402/payment"]), and that sample=true yields a free 3-row preview. It stops short of describing rate limits, error behavior, or response shape, but the pricing/payment disclosure is unusually valuable.

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?

The scope is front-loaded and the routes and payment terms follow in compact form. There is minor padding in the marketing clause 'ready for dropdowns, maps, games and analytics,' which does not help an agent decide or invoke.

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 data-lookup tool with no output schema and no annotations, the definition covers scope, routes, key parameters, cost, and a free-preview escape hatch. The main missing piece is what a returned region record looks like, but the trigger conditions for using it correctly are otherwise present.

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 is already 100%, so the baseline is 3; the description earns extra by naming the concrete search parameters (q, country, sort, limit, offset) that the query object accepts, which the schema only hints at via an example. It does not explain the ISO 3166-2 format in prose, leaving that to the schema's example.

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 resource ('Every first-level administrative region on Earth') plus an added data component ('Land Stats'), which is unambiguous and easily distinguished from siblings like airports, markets, or languages. The verb+resource framing is concrete enough that an agent knows exactly what domain data this returns.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It lists the two routes and the search query parameters, which implies how to call it for listing vs. a single lookup. However, it never states when an agent should prefer this tool over a sibling or when-not to use it; usage is inferred from route structure rather than explained.

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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