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WARN Firehose — Labor Market Intelligence

get_pricing

Return LaborCurrent pricing tiers, included tools, and signup URLs.

Use this when the user asks about pricing, hits a rate limit, or wants to upgrade. Returns tier prices, daily call limits, included datasets, and direct signup links so the user can act immediately.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4.2/5.0
Behavior3/5

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

There are no annotations, so the description must carry the safety and behavior disclosure. It says 'Return/Returns' and lists the response contents, which implies a read-only operation. However, it does not state whether authentication is required or clarify that the tool only provides signup links rather than performing the upgrade itself.

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?

Three short sentences with no filler. The first sentence states the core capability, the second gives usage triggers, and the third specifies the returned data and its usefulness. The most important information is front-loaded.

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 zero-argument, side-effect-free lookup, the description covers what it returns and when to call it. It lacks an output format example, but the enumerated fields—prices, daily call limits, datasets, signup links—are sufficient for an agent to invoke it correctly.

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 has zero parameters, so the input schema already fully communicates that no arguments are needed. The description adds no parameter-specific detail, but none is required; the 0-parameter baseline applies.

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 opens with a specific verb and resource: 'Return LaborCurrent pricing tiers, included tools, and signup URLs.' This unambiguously identifies the tool's function and clearly distinguishes it from the layoff/data siblings, none of which concern pricing or account plans.

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 explicit trigger conditions: 'when the user asks about pricing, hits a rate limit, or wants to upgrade.' It does not name exclusions or alternatives, but none of the sibling tools appear to cover pricing, so the guidance is clear and actionable.

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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