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

With no annotations provided, the description carries the transparency burden. It discloses partial match behavior and the optional api_key for higher rate limits. However, it doesn't mention pagination or response shaping, but as a read-only get, this is adequate.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Is the description appropriately sized, front-loaded, and free of redundancy?

Two front-loaded sentences plus a compact Args list. No fluff, every sentence earns its place. The format is scannable and clear.

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

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

Given the output schema exists, return values needn't be described. The tool is simple (2 params, no nesting) and the description covers purpose and parameters well. It could note when to choose this over search_layoffs, but overall it's complete enough.

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

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

Schema descriptions are completely absent (0% coverage), but the description's Args section explicitly explains both parameters: company (partial match) and api_key (optional, higher rate limits). This fully compensates for the missing schema metadata.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Does the description clearly state what the tool does and how it differs from similar tools?

The description uses a specific verb ('Get') and resource ('WARN Act layoff notices') scoped to a specific company, and notes partial match support. This clearly differentiates it from sibling tools like search_layoffs (broader search) and get_recent_layoffs (time-based).

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description implies usage for company-specific lookups but does not explicitly state when not to use it or mention alternatives. It would benefit from a note like 'For broader searches, use search_layoffs instead.'

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.