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

Annotations include openWorldHint, which is a behavioral signal, but the description adds useful scope info (covered indicators) and an explicit exclusion. It does not discuss side effects, data versioning nuances (those are in the schema), or any quirks beyond pricing. The pricing block is a plus, but overall transparency is moderate given the annotation already covers some behavior.

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 includes essential info: coverage list, exclusions, typical queries, and pricing. Each sentence serves a purpose; the coverage and exclusion are front-loaded, and the pricing block is clearly delineated. Slightly verbose but not wasteful.

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 tool's complexity (multiple indicators, regions, versions), the description covers scope, exclusions, and typical queries. An output schema exists, so return format is not needed. The schema descriptions for parameters fill in the rest, making the description reasonably complete.

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 description coverage is 100% and each parameter (versions, gov_names, input_text) has detailed semantic descriptions, including usage for different query modes. The main description adds typical query examples but does not go beyond what the schema already conveys, so it meets the baseline of 3.

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?

Description clearly states it queries regional population macro indicators (counts, proportions, growth rates), lists covered indicator categories, and explicitly excludes company counts and POI details. That distinguishes it from sibling tools like gov_data_economy or poi_data_*, and typical query examples reinforce the purpose.

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 context on when to use (population statistics) and an explicit exclusion ('不回答企业数量或 POI 门店明细'), which tells the agent what this tool is NOT for. However, it doesn't mention alternative tools by name, so it stops short of full comparative guidance.

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