amac_fund_abs

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

The annotations already declare readOnlyHint, idempotentHint, and destructiveHint, which cover the safety profile. The description adds the source URL and return type, but no further behavioral traits such as pagination, rate limits, or authentication needs. No contradiction with 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 front-loaded with the core information: the source, the endpoint URL, and return type. However, the Chinese title is repeated verbatim in the first line and then again in the 'return' line, making it slightly redundant though not verbose.

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 parameterless tool with rich annotations, the description is adequately complete: it names the exact data (ABS plan disclosure), provides the source URL, and states the return type (pandas.DataFrame). However, it does not describe the content of the DataFrame beyond the general 'disclosure information' label, so an agent might not know exactly what columns or coverage to expect.

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 has zero parameters, so there is nothing for the description to explain. The baseline for 0-parameter tools is 4, and the description appropriately includes the return type to clarify what the DataFrame contains, which is sufficient.

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 resource (AMAC ABS public disclosure information) with a precise source URL and return type, which distinguishes it from other AMAC fund tools in the sibling list. The action is implied via the context of returning a DataFrame, though it does not use an explicit verb like 'retrieve' or 'get'.

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. While the Chinese title clearly states the specific data source, there is no mention of use cases, prerequisites, or comparison with similar AMAC tools like amac_fund_info or amac_fund_sub_info.

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