amac_fund_account_info

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

Annotations already declare the tool as read-only, idempotent, and non-destructive. The description adds the data source URL and indicates a pandas.DataFrame return, but does not describe the data structure, update frequency, or any limitations. It provides some context beyond the annotations but not rich behavioral detail.

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 and front-loaded with the Chinese title, followed by a useful URL and return type. However, the :return: line essentially repeats the title, which is slightly redundant but not excessively wasteful.

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 no-parameter, no-output-schema tool, the description provides the data source and general topic, which is adequate but not complete. It does not specify the DataFrame columns, row scope, or how the data is organized, which might be needed for an agent to fully understand the output.

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 tool accepts zero parameters, so the schema fully covers parameter semantics. Even though the description offers no parameter details, none are needed. The baseline of 4 for zero-parameter tools applies.

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 identifies the specific resource: AMAC's fund company and subsidiary collective asset management product disclosure, with a direct URL. The title and return line both name the exact dataset, distinguishing it from sibling tools like amac_fund_info or amac_member_sub_info.

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?

The description provides no explicit guidance on when to use this tool versus other AMAC tools. It only gives the dataset name and URL, leaving the agent to infer the use case. No alternatives, exclusions, or context are mentioned.

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