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

Annotations already declare readOnlyHint=true and openWorldHint=true, so the safety profile is covered. The description adds real value beyond that: it states the data is pulled from public third-party job boards, that it never submits anything, and that actual application happens at apply_url — disclosing scope and side-effect boundaries.

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 with no filler, front-loaded with what is fetched before the usage rationale and the read-only constraint. The only mild friction is the dangling 'apply_url' reference, a field not defined in the schema or an output schema.

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 must convey the return shape, and it does by listing the returned fields. Combined with the source disclosure and the read-only/no-submit guarantee, an agent has everything needed to call it correctly.

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 coverage is 100% and the single 'job' parameter is fully documented (slug from search_jobs or a justbacked.com/jobs URL). The description does not elaborate on the parameter beyond the schema, 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 names a specific resource (the role's application questions) and enumerates what is returned (labels, types, required, options) plus the upstream source (Greenhouse/Lever/Ashby public job board). This clearly separates it from siblings like get_job or list_applications, though no sibling is named 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 gives a concrete use context ('so you can draft answers for the user to review') and a workflow boundary ('The user applies at apply_url'), which tells the agent this tool is for preparation, not submission. It stops short of naming an alternative or an explicit when-not condition.

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