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reference-data

by dev.latamref

check_minimum_wage

PAID ($0.05). Compliance verdict: is a salary at, above or below the country's statutory minimum wage? Returns verdict, margin, the statutory floor and the legal instrument it rests on. Honest statuses when no enforceable floor exists or the period doesn't match the floor's period (cross-period conversion is never guessed). Pass api_key if you have one; otherwise the response explains how to pay via x402.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
amountYesWage to check, in the country's own currency
periodYesPeriod the amount covers — must match the statutory floor's period
api_keyNoAPI key (bypasses x402; metered for invoicing)
countryYesISO country code

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. It discloses the paid nature ($0.05), the return fields (verdict, margin, floor, legal instrument), and honesty for edge cases (missing floor, period mismatch). Adding the exact format of the verdict would improve it further.

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 description is concise (two sentences) but the opening 'PAID ($0.05)' is somewhat jarring. It is front-loaded with the payment info, which is important. Minor improvement could be better integration.

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?

The description covers the tool's inputs, outputs (verdict, margin, floor, legal instrument), edge cases (missing floor, period mismatch), and payment methods. Without an output schema, this is fairly complete but could specify the possible verdict values.

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 100%, so baseline is 3. The description adds context for the api_key parameter (payment method) and reinforces period matching. This adds modest value beyond the schema.

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 verb ('checks' by implication) and the resource (salary vs statutory minimum wage), and it is distinct from all sibling tools which deal with tax, holidays, series, etc.

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?

The description explains the tool's function (compliance verdict) and key constraints (period must match, no cross-period conversion). It does not explicitly state when not to use it or list alternatives, but the context is sufficiently clear.

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

A4.4/5.0
Disambiguation5/5

Each tool targets a distinct operation: compliance check, tax computation, VAT breakdown, day counting, holiday retrieval, series value/history/snapshot, catalog listing, and settlement date calculation. Even where underlying data overlaps (e.g., minimum wage as a series), the outputs and use cases are clearly differentiated.

Naming Consistency4/5

Nine of ten tools follow a clear verb_noun pattern (check_minimum_wage, compute_income_tax, compute_vat, count_working_days, get_public_holidays, get_series, get_series_history, get_snapshot, list_series). The outlier is settlement_date, which uses a noun phrase rather than a verb-based name, though it remains unambiguous and readable.

Tool Count5/5

With 10 tools, the server is well-scoped for its reference-data purpose, covering tax, wages, holidays, working days, series discovery, and settlement dates. Each tool earns its place without redundancy or bloat.

Completeness5/5

The surface provides comprehensive coverage: discovery via list_series, current/historical data via get_series and get_series_history, a full snapshot, tax computations, wage compliance, public holidays, working day counts, and settlement date calculations. There are no obvious gaps or dead ends for the intended domain.

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