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Pay Transparency Rules for Job Posts

list_pay_transparency_laws

Lists pay transparency laws with status (in force, enacted not yet in force, pending, EU transposition overdue), start date, who is covered and what a posting must include. Filter by country ("US", "CA", "EU" or an EU country name) and status. Free.

Input Schema

NameRequiredDescriptionDefault
statusNoOptional: in_force, enacted_not_yet_in_force, pending, transposition_overdue.
countryNoOptional: "US", "CA", "EU", or a country name such as "Germany".

Schema Changelog

Changes observed during successful MCP inspections.

  1. First observed

TDQS

A3.8/5.0
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 meaningful work: it discloses the shape of the returned record (status, effective date, covered parties, posting contents) and notes the tool is free, which is real operational context. It omits pagination, result volume, and freshness/update cadence, so it is not fully transparent.

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 tight sentences with no filler: the return contract comes first and the filtering options second, with the trailing "Free." costing almost nothing and conveying useful context.

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 and no annotations, the description must explain what comes back, and it does list the key fields and the enum-like status values. It stops short of describing ordering, limits, or how the country/status filters interact, leaving a small completeness gap.

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 description coverage is 100%, and the description largely restates the schema's parameter values rather than adding new syntax or semantics. The parenthetical gloss of the four statuses adds only marginal meaning beyond the schema, so the baseline 3 applies.

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 resource (lists pay transparency laws) and enumerates the returned dimensions: status, start date, coverage, posting requirements. It is clearly a retrieval tool, but it never explicitly contrasts itself with the sibling list_upcoming_pay_transparency_changes, which sounds like the nearest alternative.

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 supplies concrete filter values ("US", "CA", "EU", country name, and the four status values), which implies how to narrow results, but there is no explicit when-to-use guidance or routing versus the sibling change-tracking and capability tools. Usage is left to inference.

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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