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lzinga

US Government Open Data MCP

bls_employment_by_industry

Read-only

Retrieve employment data by major industry sector to see which sectors are growing or shrinking.

Instructions

Get employment numbers broken down by major industry sector. Shows which sectors are growing or shrinking.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
start_yearNoStart year (default: 3 years ago)
end_yearNoEnd year (default: current year)
Behavior3/5

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

Annotations already declare readOnlyHint=true, and the description does not contradict. However, the description adds no behavioral context beyond that.

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 sentences, front-loaded with the main action, with no redundant information.

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 low-complexity tool with zero required params and no output schema, the description covers the purpose and insight adequately.

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%, and the schema describes start_year and end_year with defaults. The description does not add meaningful parameter information 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 states a specific action ('Get employment numbers') and resource ('by major industry sector'), and adds the growth/shrinkage insight, clearly distinguishing it from siblings like bls_cpi_breakdown.

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 implies usage for industry employment trends but does not explicitly state when not to use or compare to other BLS tools like bls_search_series.

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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