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

The tool is described as a read-style query and the exclusions help define its behavior, but annotations only provide openWorldHint, not readOnlyHint or destructiveHint. The description does not further explain how the periodic change data is returned, whether it has coverage limitations, or what the temporal window semantics are; the output schema is left to carry some of that burden.

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 description is compact and structured: purpose, included indicator categories, exclusions, typical questions, and pricing. It earns a 4 rather than a 5 because the purpose sentence and the explicit indicator list partially overlap, introducing minor redundancy.

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?

For a two-parameter lookup tool with a strong input schema and an output schema, the description is largely complete: it defines scope, indicators, exclusions, examples, and pricing. It does not fully explain what the period-change result contains or what time range is involved, which prevents a perfect completeness score.

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?

The parameter schema already documents both country_name and company_name at 100% coverage, so the baseline is 3. The description adds value by emphasizing that the query must be enterprise-specific, not batch-oriented, by giving concrete examples for Chinese, American, and Japanese companies, and by making clear that park/industrial-chain batch parameters are not valid inputs.

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 clearly states the tool's verb and resource: it queries employer-brand related periodic changes by specific enterprise name, covering contract signing rate, overtime, occupational health, and work-related casualties. It also explicitly says it is not for per-capita salary/welfare metrics, which distinguishes it from related sibling tools such as enterprise_change_employee_benefits.

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 description includes clear when-not guidance: not for wage/welfare benefit indicators, not for batch filtering by parks or industrial chains, and it gives typical query examples by country/company. However, it does not explicitly name alternative sibling tools, so the 'use X instead' guidance is only implied by exclusion rather than directly stated.

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