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

The description clearly frames the tool as a read-only retrieval tool via '查询', lists the exact indicator categories, and discloses boundaries by saying what is not included. While annotations only contain openWorldHint and no readOnly/destructive fields, the behavior is well conveyed through the selection and exclusion lists and typical query examples.

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 organized and front-loaded: main query behavior, covered indicators, exclusions, then sample questions. Every sentence contributes guidance, though the Pricing block adds extra noise and the typical question examples are slightly repetitive; otherwise this would be a 5.

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 enterprise query with full schema coverage and an output schema, the description is complete enough to select and invoke the tool correctly. It covers exact metrics, exclusion boundaries, and realistic sample phrasings; the main weakness is not pointing explicitly to the sibling tool that should be used for the excluded process metrics.

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 both parameters are already described in the input schema. The description examples provide realistic variations (比亚迪股份有限公司, Tesla, Inc., 中国/美国), but they do not materially extend the schema-level meaning; baseline 3 is appropriate.

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 verb and resource: query cooperative/brand-related periodic indicators for a specific enterprise by enterprise name. It enumerates the exact covered metrics (应付款项、付款周期、合同违约率、合作年限) and explicitly excludes process indicators and batch list queries, which clearly distinguishes it from sibling tools like enterprise_change_process_evaluation.

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 gives clear when-to-use and when-not-to-use guidance: it is for per-enterprise cooperative-period metrics and explicitly not for 履约及时性, 供货合格率, non-related indicators, or park/chain-level batch filtering. It does not explicitly name a concrete alternative sibling tool, so it falls just short of full 5.

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