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

Annotations only include openWorldHint: true, which is minimal. The description adds context about periodic changes and included/excluded metrics, but does not disclose data sources, matching behavior, time ranges, or any side effects. It does not contradict annotations, but coverage is limited beyond what the schema already conveys.

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 moderately long but well-structured: first sentence states purpose, then exclusions, metrics list, further exclusions, and typical questions. Pricing info is appended but optional. Each segment adds value; it is front-loaded and not redundant.

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 an output schema present, the description does not need to explain return values. It adequately covers scope, exclusions, and typical usage for a two-parameter tool. It lacks details on time period or data granularity, but these are likely covered by the output schema. Overall, it is complete enough for correct selection.

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% with both parameters described. The description adds typical questions with example values (e.g., '中国比亚迪股份有限公司' and 'China'), which implicitly show acceptable formats, but it does not add deeper semantic nuances beyond what the schema provides. Baseline of 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 states the tool queries periodic changes in cooperation brand aspects for a specific enterprise, listing concrete metrics (contract standardization, delivery timeliness, supply qualification rate, price reasonableness, service satisfaction, complaint rate). It explicitly excludes result indicators, distinguishing it from enterprise_change_result_evaluation and other siblings. Typical questions provide clear examples of scope.

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 explicitly states when to use (for the listed process metrics) and when not to use (not for payables, payment cycles, default rates; not for batch filtering by park/industry chain). It gives typical question formats. However, it does not explicitly name alternative tools like enterprise_change_result_evaluation, though the exclusions imply the distinction.

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