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

Beyond the openWorldHint annotation, the description discloses that the result is a merged text combining total/production/sales/dependency types, and that it returns a list (not just a count). It also states exclusions, which helps set expectations. No contradictions with 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 description is moderately long but well-structured with clear sections (scope, included types, exclusions, example questions). The pricing information is included in the same block, which is extraneous but not harmful. Overall, it is efficient and front-loaded with the core purpose.

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?

Given the output schema exists (though not shown), the description does not need to explain the return format. It explains what data types are merged and that the result is a list. The typical queries cover different region granularities, making the scope clear. It is complete enough for an agent to decide and invoke the tool correctly.

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 input schema already provides descriptions for all three parameters (100% coverage). The description adds value by giving concrete examples for region and chain_name, and by indicating the year field is optional. This supplements the schema without redundancy.

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 it queries high-tech enterprise lists based on region and industry chain name, and explicitly lists the types of lists it returns (total/production/sales/dependency). The name and description distinguish it from sibling tools like chain_high_tech_company_num (which returns counts only) and other chain_*_company_list variants.

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 provides typical example queries (national-level, city-level, district-level) and clarifies what is included and excluded (e.g., does not return only counts, does not cover other enterprise classifications). It implicitly guides when to use this tool over the _num variants, though it does not explicitly name alternatives.

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