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

Annotations already cover the safety profile (readOnlyHint=true, openWorldHint=false), yet the description adds real behavioral context: the data is read from employers' own careers sites, is rebuilt daily (freshness), is free, and no employer is named (a privacy/detail limit on results). It does not describe result size or pagination, but the added context goes well beyond the annotations.

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?

Front-loaded with the core purpose, then a dense enumeration of returned metrics followed by parameter guidance. Every clause earns its place, though the metric list is a long run-on that could be tightened.

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 carries the burden of explaining returns and does so thoroughly — metrics, data source, refresh cadence, and cost are all stated. What is missing is only the result shape/size, a minor gap for a read-only snapshot tool.

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%, so the baseline is 3, but the description goes further by giving concrete plain-word occupation examples ("registered nurse", "pharmacy technician") and clarifying that state accepts a code, a name, or US — details the schema's terse one-liners do not fully supply.

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+resource — the current US hiring market for one healthcare clinical occupation — and enumerates exactly what is measured (postings, employers, pay range, experience/education, shift mix, recency, time-to-close). This is far more precise than the sibling names compare_job_posting, is_job_still_open, and request_competitive_hiring_report, which target other granularities.

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?

Usage context is implied (one occupation, national or single-state snapshot), but the description never names an alternative or states when NOT to use it. It does not route the agent toward request_competitive_hiring_report for a broader report or compare_job_posting for individual postings, so the choice among siblings is left to inference.

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