bond_cb_adj_logs_jsl

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

Annotations already declare readOnlyHint=true, destructiveHint=false, and idempotentHint=true. The description adds the return type (pandas.DataFrame) and source URL, but it does not mention behavioral traits like pagination, rate limits, or error handling. The added context is modest but not contradictory.

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 compact, containing a title, URL, and docstring. It is front-loaded with the purpose. However, the title duplicates the annotation title, and the URL may be extraneous for agent use, slightly reducing efficiency.

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 a simple one-parameter tool with no output schema, the description provides essential elements: data source, parameter meaning, and return type. It does not describe the contents of the adjustment records or any caveats, but it is mostly adequate for basic selection.

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 0%, so the description must compensate. It says ':param symbol: 可转债代码', which conveys that symbol is the convertible bond code. This is minimal and does not explain format, examples, or how to find valid codes beyond the schema default.

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 resource (可转债转股价调整记录) and indicates it returns a pandas.DataFrame, but it lacks an explicit action verb like 'get' or 'fetch'. It reads as a label rather than a clear function. It is distinguishable from siblings like bond_cb_redeem_jsl by focusing on adjustment logs.

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. It includes a data source URL but no exclusions or comparisons with sibling tools like bond_cb_jsl. The only implicit context is that it is for adjustment records.

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