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

Beyond the readOnlyHint/destructiveHint annotations, the description adds that no login, scraping, or proxies are needed, discloses the return format (headlines, count, summary), and mentions the per-call cost. This is rich behavioral context.

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?

The description is two sentences that efficiently pack purpose, source, behavioral constraints, return shape, and pricing without redundancy.

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?

With no output schema, the description does well to name the returned data (headlines, count, summary). It could mention potential edge cases or limits, but for a simple read-only tool, it's largely complete.

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?

Input schema already documents all three parameters at 100% coverage, so the description need not re-explain them. It adds marginal context by mentioning company/sector searches, but does not elaborate on sinceDays or maxConcurrency beyond the schema.

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 clearly states the tool tracks recent tech layoffs by company or sector, sourced from Google News, and positions it as a demand/recruiting signal. This distinguishes it from sibling tools covering hiring, funding, and company data.

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?

It provides clear usage context ('demand and recruiting signal') and operational benefits (no login/scraping/proxies), but does not explicitly compare to sibling tools or state when not to use it.

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