get_balance_data

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

With no annotations, the description must disclose behavior but only mentions the output fields and quarter range. It does not explain default behavior for optional parameters, data recency, or whether the tool is read-only (implied but not stated).

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 short (two sentences) but includes redundant Chinese text and lacks clear structure. Information about fields and quarter range could be better integrated.

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?

Without output schema, the description fails to explain the full return structure or how parameters interact. The agent cannot determine default behavior for missing year or quarter.

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%, yet the description adds no meaning to the 'code' or 'year' parameters. It only hints at 'quarter' values (1..4), which is insufficient given three parameters.

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 provides quarterly solvency/balance-sheet ratios and lists the specific fields (e.g., currentRatio, quickRatio). The verb 'get' and resource 'balance data' are explicit, distinguishing it from sibling tools like get_cash_flow_data or get_profit_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 on when to use this tool versus alternatives (e.g., get_dupont_data for deeper financial analysis). No prerequisites or context provided.

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