get_hk_balance_data

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

With no annotations provided, the description carries full burden. It mentions the return format (Markdown table or error) but doesn't disclose behavioral traits like rate limits, authentication needs, data freshness, or what happens with invalid inputs beyond error messages. For a data retrieval tool with zero annotation coverage, this is inadequate.

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 appropriately sized and front-loaded with the main purpose first, followed by parameter details and return format. Every sentence adds value, though the structure could be slightly improved by separating the purpose from the parameter explanations more clearly.

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 moderate complexity (3 parameters, no annotations, but has output schema), the description is reasonably complete. It covers purpose, parameters, and return format. With an output schema present, it doesn't need to detail return values extensively, though more behavioral context would enhance completeness.

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 description adds significant meaning beyond the input schema, which has 0% description coverage. It explains each parameter: 'code' as Hong Kong stock code with example 'hk.00700', 'year' as 4-digit year with example '2023', and 'quarter' as 1-4 with examples. This fully compensates for the schema's lack of descriptions.

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 the tool retrieves Hong Kong stock quarterly balance sheet/solvency data with specific examples (current ratio, debt ratio). It distinguishes from siblings by specifying '港股' (Hong Kong stocks) focus, though it doesn't explicitly differentiate from similar tools like 'get_balance_data' or 'get_hk_cash_flow_data'.

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?

No guidance is provided on when to use this tool versus alternatives like 'get_balance_data' (general balance data) or 'get_hk_cash_flow_data' (cash flow data for Hong Kong stocks). The description implies usage for Hong Kong stock balance sheet analysis but lacks explicit comparison or exclusion criteria.

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