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WARN Firehose — Labor Market Intelligence

authenticate

Authenticate with your WARN Firehose API key. Returns your tier and access level.

Args:
    api_key: Your WARN Firehose API key (starts with wf_)

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
api_keyYes

TDQS

A4.3/5.0
Behavior3/5

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

No annotations are provided, so the description must convey behavior. It discloses the return value (tier and access level) and the API key format (starts with wf_), but does not mention failure modes, error responses, or any session side effects, leaving some behavioral gaps.

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 short, front-loaded with the core action, and the Args block adds necessary parameter context not present in the schema. No redundant sentences.

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?

The tool is simple with one parameter and no output schema; the description adequately states what it does and what it returns. However, it could further explain what happens on invalid credentials or how the returned access level should be used, but this is not critical for basic invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters5/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The schema provides only 'api_key' as a string with no description (0% coverage). The description compensates by explaining that this is the WARN Firehose API key and adding the 'wf_' prefix constraint, giving the agent actionable validation information.

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 authenticates using the WARN Firehose API key and returns the user's tier and access level. This specific verb and resource distinguish it from the sibling data-retrieval tools.

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 doesn't explicitly name alternatives or exclusions, but its unique role as the only authentication tool among data-focused siblings makes its usage context clear. It implies that authentication is needed to obtain tier and access level, which can inform subsequent data calls.

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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TDQS

A3.6/5.0
Disambiguation3/5

Several tools overlap in function: get_recent_layoffs, get_state_summary, and search_layoffs all return layoff notices with various filters. get_state_intelligence also overlaps with get_state_summary but adds cross-dataset information. Descriptions help, but an agent may struggle to choose the right tool without careful reading.

Naming Consistency4/5

Most tools follow a get_verb pattern and use snake_case consistently. A few deviations like authenticate (verb-only), search_layoffs, and export_records are action-oriented but acceptable, making the overall pattern mostly predictable.

Tool Count5/5

With 12 tools, the server is well-scoped for a labor market intelligence API. Each tool serves a distinct purpose, and the count is neither sparse nor overwhelming for the domain.

Completeness4/5

The tool set covers core workflows: authentication, search, bulk export, state-level intelligence, risk signals, and talent pipeline. Minor gaps exist, such as no company-level cross-dataset view (similar to state_intelligence for a company) and no direct record-by-ID retrieval, but these are workable.

Resources