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lzinga

US Government Open Data MCP

dol_ui_claims_national

Read-only

Get national weekly Unemployment Insurance claims data, including initial and continued claims, insured unemployment rate, and covered employment. Spikes in claims indicate labor market stress.

Instructions

Get national weekly Unemployment Insurance (UI) initial and continued claims. Includes insured unemployment rate and covered employment. Key economic indicator — spikes indicate labor market stress.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
limitNoNumber of weekly records (default 25, use 52 for 1 year)
offsetNoPagination offset
sort_byNoField to sort by: 'rptdate' (default)
sort_orderNoSort direction (default: desc)
Behavior3/5

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

Annotations already declare readOnlyHint=true, so the description's 'Get' is consistent. It adds context on what data is included but does not disclose pagination behavior or error handling. The bar is lowered by annotations, and the description adds minimal extra behavioral detail.

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 three sentences, front-loaded with the main purpose, and every sentence adds value. No redundancy or unnecessary words.

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?

Given the lack of output schema, the description partially covers return values by listing included metrics. However, it does not specify the exact format or structure of the response, leaving some ambiguity for a tool with no output schema.

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%, so the baseline is 3. The description does not elaborate on parameter meaning beyond the schema, which already documents parameters like limit, offset, sort_by, and sort_order adequately.

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 retrieves national weekly UI claims, including initial and continued claims, insured unemployment rate, and covered employment. The verb 'Get' and resource are specific, and the tool is distinct from the sibling 'dol_ui_claims_state' for state data.

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 use for national-level labor market monitoring, mentioning it as a key economic indicator for stress. However, it does not explicitly state when not to use it or directly compare with alternatives like the state-level tool.

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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