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

No annotations are provided, so the description must carry the behavioral burden. It does disclose that this call is free and that it serves as a coverage check before paid queries, which is useful cost/behavior context. However it does not state the read-only nature explicitly, rate limits, or return shape — though an output schema exists and covers return values.

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?

Two compact sentences, with the content listing front-loaded and the usage directive second. Every sentence earns its place with no repetition.

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 zero-parameter tool with an output schema covering return values, the description is nearly complete: it explains scope, contents, and the pre-paid-query use case. Only minor gaps (explicit read-only framing) remain.

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 tool takes zero parameters, which is the baseline 4 case. The description correctly implies a parameterless full-database snapshot with no filtering options.

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 (database-wide statistics) and enumerates the exact contents: total job count, company count, update time, distribution across 18 sectors, and work-type/office-mode/data-source breakdowns. This clearly separates it from sibling list/search tools, though it does not explicitly name an alternative.

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?

'付费查询前先调这个确认覆盖范围' gives an explicit when-to-use directive: call before paid queries to confirm coverage. It provides clear context but does not state when-not to use or name specific alternative tools to call instead.

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