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BullrunData

Market Intelligence MCP

Official

employment_data

Read-only

Get current employment indicators: unemployment rate, nonfarm payrolls, initial claims, JOLTS openings and quits rate, participation rate, average hourly earnings.

Instructions

Get current employment indicators: unemployment rate, nonfarm payrolls, initial claims, JOLTS openings and quits rate, participation rate, average hourly earnings.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault

No arguments

Behavior4/5

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

Annotations already declare readOnlyHint=true and destructiveHint=false, which are consistent with the read-only nature. The description adds value by enumerating the exact indicators returned, beyond what annotations provide.

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?

The description is a single concise sentence that front-loads the key information—what indicators are provided—with no wasted words.

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

Completeness5/5

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

For a zero-parameter tool with no output schema, the description fully informs the agent about what data to expect, covering all the listed employment indicators without any gaps.

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 input schema has zero parameters, so no parameter documentation is needed. The description effectively explains what data is returned, which is the functional equivalent of parameter semantics.

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 tool provides current employment indicators and lists specific metrics like unemployment rate, nonfarm payrolls, etc., which distinguishes it from sibling tools such as inflation_data or interest_rates.

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 indicates the tool is for retrieving current employment indicators, but does not explicitly state when not to use it or mention alternatives among siblings. However, the specificity of listed indicators provides clear usage context.

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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