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

With no annotations, the description carries the full burden and does well: it discloses the result cap (newest 50), the exact fields returned, that total counts come back alongside, and — critically — that the call costs $0.005 USDC on Base via x402, a payment prerequisite an agent must know before invoking. It does not cover rate limits, error behavior for unsupported ATS, or whether the counts imply pagination beyond 50.

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?

Three tight sentences: scope and supported sources first, then inputs, then return shape and price last. Every sentence adds distinct information with no filler, and the cost disclosure is placed where an agent will still read it.

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 correctly enumerates the return fields and the 50-result cap so an agent need not probe for the response shape, and it discloses the payment requirement. It is complete for a lookup tool, with only failure modes (unsupported ATS, zero results) left unaddressed.

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 description coverage is 100%, so the schema already documents every parameter, including the comma-separated title pattern and the remote enum. The description only restates the parameter set generically ('optional title, location and remote filters') without adding syntax or edge-case meaning, so the baseline 3 applies.

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 opens with a precise verb+resource: open jobs at a specific company pulled from its own public ATS job board, and enumerates the ten supported ATS platforms (Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee, BambooHR, Personio, Teamtailor, Workday). The required 'company' scoping effectively separates it from the generic jobs_search/jobs_new siblings, though it never names an alternative explicitly.

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 states the acceptable input forms (company name, website, or job-board URL) and that title/location/remote are optional filters, which implies the use case of per-company job lookup. However, it gives no when-not guidance, no mention of what happens when a company has no supported ATS, and no comparison to the sibling job tools.

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