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

With no annotations, the description carries the full burden and delivers real operational context: first page only, at most 5 rows, no pagination input, additional pages require separate requests, and per-call cost of 0.011 USDC. It also flags semantic limits (empty is not a safety finding, recorded grade is not current compliance certification), though it omits error/auth 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 purpose and row limits are front-loaded, which is good, but the text is a run-on run of fragments and repeats its completeness/safety caveat twice ('does not independently attest... completeness' and 'No completeness or safety guarantee'). Several sentences could be consolidated.

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 an opaque-schema tool with no annotations and no output schema, the description covers scope, row limits, cost, and caveats reasonably well. The main gap is that the actual callable arguments are delegated to another tool rather than explained, leaving the invocation under-specified.

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 0% and the schema is an open nested object with additionalProperties, so the description must compensate. It does name the key identity parameter (company_id) and its source, and routes the agent to get_cn_data_tool_schema("v3_tax_credit"), but the actual argument shape is not described.

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+resource and scope: 'Recorded tax-credit grades by year.' The resource is distinguishable from siblings like tax_basic, tax_overdue, and tax_punishment_list. It does not explicitly name alternatives, but the subject matter is clear enough for an agent to select it.

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?

Provides one concrete prerequisite: the company_id must come from cn_data_v3_company_detail, which is useful routing. However, it gives no explicit when-to-use/when-not guidance versus the many other cn_data_v3 tax tools, and the 'One selected Chinese company data tool call' line is vague rather than directive.

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