fund_portfolio_bond_hold_em

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

Annotations already declare readOnlyHint, idempotentHint, and openWorldHint, which cover the safety profile. The description adds the data source URL and return type (DataFrame) but does not disclose additional behavioral details such as pagination, rate limits, or data completeness. Given annotation coverage, the bar is met at a moderate level.

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 the URL and parameter documentation. It is appropriately sized for a simple tool, though the URL is somewhat redundant with the title.

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 read-only tool with two parameters and strong annotations, the description is largely sufficient. However, it lacks an example call or details about the output columns, which would improve completeness; the returned DataFrame structure is only glossed as 'bond holdings'.

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 schema has no parameter descriptions (0% coverage), so the description's param docs add meaning: symbol is 基金代码 (fund code) and date is 查询年份 (query year). This is helpful but does not go beyond basic type/meaning, leaving format details to the schema defaults (e.g., '2023', '000001').

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 retrieves bond holdings (债券持仓) from Tiantian Fund Network's fund archive, with a URL confirming the source. The title and return type (pandas.DataFrame) make it specific and distinguishable from sibling fund portfolio tools like fund_portfolio_hold_em.

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?

Usage is implied through the domain-specific name and description (fund bond holdings by year), but there is no explicit guidance on when to use this tool versus alternatives or any exclusion criteria. The sibling list includes similar portfolio tools, so more explicit direction would help.

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