stock_margin_account_info

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

Annotations already declare readOnlyHint=true, idempotentHint=true, and destructiveHint=false, so the safety profile is covered. The description adds that the tool returns a pandas.DataFrame and provides a source URL, but does not disclose data update frequency, exact columns, or any access limitations. This is modest additional context beyond annotations.

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 and includes three pieces of information: source path, URL, and return type. Some repetition exists ('融资融券账户统计' appears in both the path and return), but it is not overly verbose. Each line serves a purpose, though the structure could be more informative.

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?

The tool is simple with no parameters and no output schema, but the description should still convey the nature and scope of the returned data. It states the return is '融资融券账户统计' and a DataFrame, but does not specify whether it covers all markets, the granularity, or the exact fields. The URL provides a reference, but the description is sparse for a data retrieval tool.

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 input schema is empty with zero parameters, so the description has no parameters to explain. Per the rubric, the baseline for 0 parameters is 4. The description does not need to compensate for any parameter documentation gaps.

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 states the tool returns '融资融券账户统计' (margin trading account statistics) from a specific Eastmoney data center page. The verb is implied ('return/provide') and the resource is clearly identified. It does not explicitly distinguish from sibling margin tools like stock_margin_sse or stock_margin_szse, but the source URL and title make the specific dataset clear.

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. There is no mention of exclusions, prerequisites, or comparison with other margin account tools. The description only gives the source and return type, leaving the agent to infer usage context.

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