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

Annotations already declare readOnlyHint, idempotentHint, openWorldHint and destructiveHint=false, so safety is covered. The description adds genuine context beyond that: the breadth of the source corpus (258 US hospitals, health systems, job boards) and the exact result fields returned, including the apply link. Missing rate limits, pagination or caching behavior keeps it off a 5.

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 verb is front-loaded and the return-field list is useful, but the opening sentence is a single sprawling construction with nested parentheticals, and its long enumeration of job kinds largely duplicates the 'kind' enum descriptions. Trimming that duplication would sharpen the definition.

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 the valuable work of enumerating returned fields, and it names the corpus size. Still absent are result-count/pagination behavior, what happens when filters combine to zero matches, and any sibling-selection rule for the state- and market-specific tools.

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 carries enum meanings, defaults, ranges and examples for all 8 params; baseline 3 applies. The description contributes only the meta-claim that all filters are optional, which the schema's empty required list already implies.

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?

States a specific verb and resource ('Search the open healthcare jobs') and narrows scope to 258 US hospitals plus job-board listings, which is concrete and distinguishable. It does not explicitly differentiate itself from close siblings like get_healthcare_jobs_by_state or get_healthcare_job_market, so an agent must infer the boundary.

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?

'All filters are optional' tells the agent the tool is callable with no arguments, and the employer param routes to list_healthcare_employers for slug lookup. However, there is no guidance on when to prefer this tool over get_healthcare_jobs_by_state or get_healthcare_job_market, which is the main selection risk.

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