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

With no annotations, the description carries the full burden, and it does disclose the data source (hndcw.com), its coverage size, and the exact fields returned (标题/地区/层级/行业/申报截止/申报入口/原文链接). It does not mention rate limits, auth, or pagination semantics, but for a read-only search that is a minor omission.

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?

A single well-ordered paragraph: purpose+scope, then filter dimensions, then return fields, then example intents. Front-loaded and dense, though the example-query list is somewhat padded relative to the core content.

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?

No output schema exists, so the description correctly enumerates the return fields, and it covers filtering, scope, and intended question types. Adequate for a stateless search tool; only failure/edge behavior is unspecified.

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%, so the schema already documents all five parameters with examples. The description only restates the filter dimensions (keyword, region, level, industry) without adding syntax or behavior beyond what the schema provides, matching 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?

States a specific verb (查询/search) plus the resource (hndcw.com 政策库), and quantifies scope as covering Hainan and national 惠企/补贴/产业/民生/招投标 policies with 500+ entries. An agent immediately knows this is a policy-search tool and what corpus it draws from.

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 concrete example queries ("海南有什么补贴政策", "查自贸港惠企政策", "某行业申报截止日期") that map intent to this tool. There are no sibling tools, so no exclusions are needed, but it stops short of explicit when-not-to-use guidance.

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