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MyLatinLife Data

Full dataset (commercial)

get_dataset
Read-only

Every row of one topic, optionally for one country. Requires a commercial API key: https://buy.stripe.com/7sYdR956F11W0bh1fhaVb1q

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
topicYes
countryNoCountry name or slug, e.g. "Panama" or "costa-rica".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.7/5.0
Behavior4/5

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

Annotations only declare readOnlyHint and openWorldHint, so the description's disclosure that a commercial API key is required (with a purchase link) adds genuinely useful behavioral context an agent cannot get from structured fields. It still omits what happens without a key (hard failure vs. truncated result) and does not characterize the volume/size of the return payload.

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 short sentences with no filler; the scope ('every row of one topic') is front-loaded and the prerequisite follows. Every clause earns its place.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a two-parameter data-dump tool with no output schema, the description is workable but thin: it never hints at the shape or granularity of a returned row, nor whether the same topic/country call is deterministic or paginated.

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 coverage is 50%: country is documented with examples in the schema, while topic is only conveyed via its enum. The description adds that country is optional, but this is already implied by the schema's required list, so it contributes little beyond the structured data.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

States a specific verb and scope: every row of one topic, optionally narrowed to one country. This clearly separates it from narrower siblings like get_country_profile or find_visas without needing to name them, though it never explicitly contrasts with them.

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?

The phrase 'optionally for one country' implies when to use it (bulk/complete extraction for a topic), but there is no explicit when-to-use statement, no exclusion conditions, and no pointer to a lighter alternative such as get_country_profile for single-country lookups.

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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