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

Annotations already declare readOnly, openWorld, idempotent, and non-destructive, so the safety profile is covered. The description adds genuine behavioral context: it combines GWIX sources with official statistics, returns percentiles, trends, chart data, and citations, and notes that free Ask GWIX answers are consumed first with credits reported. That billing/credit disclosure is valuable and not inferable from 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?

The routing guidance and pay alternative are front-loaded, which is good. But the second half drifts into meta-commentary about GWIX's analyst and source aggregation, and the credit-consumption note, which adds length without helping tool selection. A trim would improve signal density.

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?

There is no output schema, but the description adequately describes what the report contains (percentiles, trends, comparisons, chart data, meaning, citations), which compensates. Combined with the annotations and full schema coverage, an agent has enough to invoke this correctly, though the interaction between question and the structured location/occupation fields remains slightly unclear.

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 all four parameters are already fully documented in the schema. The description adds only indirect guidance (mentioning place, role, company, industry) and does not clarify how the question parameter interacts with the structured place/occupation_code fields. Baseline 3 is appropriate given the schema does the heavy lifting.

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 states a specific resource (hiring demand: openings, growth, industries/employers) with clear scope. It explicitly distinguishes itself from salary_and_hiring_report for pay data. However, it does not differentiate itself from close siblings like labor_market_report, talent_supply_report, or company_hiring_report, leaving some ambiguity about scope boundaries.

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?

The opening sentence implies usage (questions about whether hiring is rising or cooling, opening counts, demand growth), and it names one alternative explicitly: salary_and_hiring_report for pay. It lacks exclusions against other similarly named siblings (labor_market_report, company_hiring_report), but the context is clear enough to route most queries correctly.

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